Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation | Paper Citation Record

Observation 1526371c-a675-4c97-814b-746330775ae9 · outbound

This paper cites MIT press, 2018.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation MIT press, 2018

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Observation 4bf1724f-2714-4f22-86e8-f3e3a134e07f · outbound

This paper cites Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

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Observation ba244a59-48ea-448b-a35c-4ea07b740dff · outbound

This paper cites Reinforcement learning in robotics: A survey.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Reinforcement learning in robotics: A survey

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Observation 56859d3c-2cd0-4236-95af-df70614d7519 · outbound

This paper cites Toward self-driving processes: A deep reinforcement learning approach to control.AIChE journal, 65(10):e16689, 2019.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Toward self-driving processes: A deep reinforcement learning approach to control.AIChE journal, 65(10):e16689, 2019

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Observation 5073135a-bf34-45ec-9085-8493b5d7d39f · outbound

This paper cites Sim-to-real transfer in deep reinforcement learning for robotics: a survey.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Sim-to-real transfer in deep reinforcement learning for robotics: a survey

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Observation 15a92a1b-465b-48e0-bb1d-e67a041c145d · outbound

This paper cites Out-of-Distribution Dynamics Detection: RL-Relevant Benchmarks and Results.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Out-of-Distribution Dynamics Detection: RL-Relevant Benchmarks and Results

Reference 6

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Observation 21553616-b72f-42f5-9ff6-d9b1a9d7554f · outbound

This paper cites Off-dynamics reinforcement learning: Training for transfer with domain classifiers.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Off-dynamics reinforcement learning: Training for transfer with domain classifiers

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Observation dbbeceac-cdb8-4aa8-9620-a67d693c4e8a · outbound

This paper cites Robust dynamic programming.Mathematics of Operations Research, 30(2):257–280, 2005.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Robust dynamic programming.Mathematics of Operations Research, 30(2):257–280, 2005

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Observation 028831bd-968d-4d86-babd-2a5893be2385 · outbound

This paper cites Offline-to-online reinforcement learning via balanced replay and pessimistic q-ensemble.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Offline-to-online reinforcement learning via balanced replay and pessimistic q-ensemble

Reference 9

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Observation 2da0939b-9d49-4471-b2dc-9fccee67e3ac · outbound

This paper cites Adaptive policy learning for offline-to-online reinforcement learning.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Adaptive policy learning for offline-to-online reinforcement learning

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Observation 22ed0b8b-7e03-4621-a290-1cf07f5008e1 · outbound

This paper cites Domain randomization for transferring deep neural networks from simulation to the real world.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Domain randomization for transferring deep neural networks from simulation to the real world

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This paper cites Pal, and Liam Paull.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Pal, and Liam Paull

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Observation 52067f97-ed3b-4a8f-9b0a-32e2eed5252f · outbound

This paper cites Mujoco: A physics engine for model-based control.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Mujoco: A physics engine for model-based control

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Observation 2db63577-4955-4e25-b994-5b2c2564a860 · outbound

This paper cites Towards a generic solution for inspection of industrial sites.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Towards a generic solution for inspection of industrial sites

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Observation bc1b65b0-5a98-4c53-8587-fff94163a914 · outbound

This paper cites Offline reinforcement learning with implicit q-learning.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Offline reinforcement learning with implicit q-learning

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This paper cites Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog

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Observation ee08bffa-b9a0-4338-8422-6d1c195222ae · outbound

This paper cites A minimalist approach to offline reinforcement learning.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation A minimalist approach to offline reinforcement learning

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Observation bee2bd30-27bc-4279-ae5d-b52113dc3e41 · outbound

This paper cites Conservative q-learning for offline reinforcement learning.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Conservative q-learning for offline reinforcement learning

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Observation 20eb6e39-95f7-43eb-a934-3d10f6fbe10b · outbound

This paper cites Uncertainty-based of- fline reinforcement learning with diversified q-ensemble.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Uncertainty-based of- fline reinforcement learning with diversified q-ensemble

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Observation c53f3ea2-6348-499e-a952-2eb398ca4f21 · outbound

This paper cites Iteratively refined behavior regularization for offline reinforcement learning.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Iteratively refined behavior regularization for offline reinforcement learning

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Observation ee8242d5-9d9d-4fff-a90a-9e4cc5f1d450 · outbound

This paper cites Offline reinforcement learning with OOD state correction and OOD action suppression.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Offline reinforcement learning with OOD state correction and OOD action suppression

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Observation 0a9c719c-02dd-45dd-879a-57eafe701b56 · outbound

This paper cites Model-Bellman inconsistency for model-based offline reinforcement learning.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Model-Bellman inconsistency for model-based offline reinforcement learning

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Observation 8048c12b-3fb2-4016-9c99-9a59bc06f200 · outbound

This paper cites Pessimistic bootstrapping for uncertainty-driven offline reinforcement learning.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Pessimistic bootstrapping for uncertainty-driven offline reinforcement learning

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This paper cites Rorl: Ro- bust offline reinforcement learning via conservative smoothing.Advances in neural information processing systems, 35:23851–23866, 2022.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Rorl: Ro- bust offline reinforcement learning via conservative smoothing.Advances in neural information processing systems, 35:23851–23866, 2022

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Observation 0021822e-187f-4dc2-aa2a-15414400336e · outbound

This paper cites When to trust your simulator: Dynamics-aware hybrid offline-and-online reinforcement learning.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation When to trust your simulator: Dynamics-aware hybrid offline-and-online reinforcement learning

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This paper cites Cross-domain policy adaptation via value-guided data filtering.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Cross-domain policy adaptation via value-guided data filtering

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Observation 5cad286d-7c02-4cb0-a929-756ec34e37be · outbound

This paper cites Cross-domain policy adaptation by capturing representation mismatch.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Cross-domain policy adaptation by capturing representation mismatch

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Observation b8338a00-9f6c-41d4-b8ef-7e2fa00fc332 · outbound

This paper cites Unsolved Problems in ML Safety.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Unsolved Problems in ML Safety

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Observation 20628592-55e8-4951-a6f7-9e72589de342 · outbound

This paper cites Learning dexterous in-hand manipulation.The International Journal of Robotics Research, 39(1):3–20, 2020.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Learning dexterous in-hand manipulation.The International Journal of Robotics Research, 39(1):3–20, 2020

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Observation ff54dac0-ddf8-4970-a069-6a11f9a2fc24 · outbound

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Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Network randomization: A simple technique for generalization in deep reinforcement learning

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Observation 135a6683-631b-424c-98a9-34fcc6649337 · outbound

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Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Learning domain randomization distributions for training robust locomotion policies

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Observation a7568781-4dda-4914-a03b-96015ec8da77 · outbound

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Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation A Markovian Decision Process.Indiana University Mathematics Journal, 6(4):679–684, 1957

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Observation 6ea5ee09-e2c6-453c-abae-4c239af013f0 · outbound

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Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Handling black swan events in deep learning with diversely extrapolated neural networks

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Observation 3d72acdb-e36d-42a2-ab81-a9edbd72c976 · outbound

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Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Cal-QL: Calibrated offline RL pre-training for efficient online fine-tuning

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Observation 89de8493-1f4e-4a75-a416-b3beae587f0d · outbound

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Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation AWAC: Accelerating Online Reinforcement Learning with Offline Datasets

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Observation 465d13c9-be27-4ae0-88e8-a76087b78458 · outbound

This paper cites D4RL: Datasets for Deep Data-Driven Reinforcement Learning.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation D4RL: Datasets for Deep Data-Driven Reinforcement Learning

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Observation 9b219c75-4ffa-4510-a637-a87ed8da06a3 · outbound

This paper cites Terry, Ariel Kwiatkowski, John U.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Terry, Ariel Kwiatkowski, John U

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Observation e0d11664-5751-476a-9d5d-27ba11d0f71b · outbound

This paper cites Soft actor-critic: Off- policy maximum entropy deep reinforcement learning with a stochastic actor.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Soft actor-critic: Off- policy maximum entropy deep reinforcement learning with a stochastic actor

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Observation d9b9f682-7946-44a3-9028-18bc64fda4c4 · outbound

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Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Addressing function approximation error in actor-critic methods

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Observation b1d777a0-3c31-41ae-9faa-2890d9c51f4f · outbound

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Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Corl: Research-oriented deep offline reinforcement learning library

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Observation 752d14ce-4484-46ae-bca1-90b40391f100 · outbound

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Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Efficient online reinforcement learning with offline data

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Observation 7a3f1e80-44d1-4aec-bad1-b6334b7b664a · outbound

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Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Odrl: A benchmark for off-dynamics reinforcement learning

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Observation cb7d1f36-c7fa-42cf-87d0-45e79e5fbf57 · outbound

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Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Darl: distance-aware uncertainty estimation for offline reinforcement learning

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Observation f625135f-81d6-4579-9c72-d976d15e5d46 · outbound

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Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning

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Observation c4ce109d-cc73-4469-8485-8f5f7a86c5a1 · outbound

This paper cites Dario Bellicoso, Vassilios Tsounis, Jemin Hwangbo, Karen Bodie, Peter Fankhauser, Michael Bloesch, Remo Diethelm, Samuel Bachmann, Amir Melzer, and Mark Hoepflinger.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Dario Bellicoso, Vassilios Tsounis, Jemin Hwangbo, Karen Bodie, Peter Fankhauser, Michael Bloesch, Remo Diethelm, Samuel Bachmann, Amir Melzer, and Mark Hoepflinger

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Observation 50084dd9-436a-4881-bbcc-a0a01590d0ff · outbound

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Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Learning to walk in minutes using massively parallel deep reinforcement learning

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d4297451-6beb-4138-ba31-b904e8cbec12 · outbound

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Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Learning agile and dynamic motor skills for legged robots.Science Robotics, 4(26):eaau5872, 2019

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Observation 9aaf98a9-3769-4d8f-abf7-4fa1ce272a68 · outbound

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Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation REvolveR: Continuous evolutionary models for robot-to-robot policy transfer

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a8f851a0-5087-40e1-879a-1118306b0361 · outbound

This paper cites PROTO: Iterative Policy Regularized Offline-to-Online Reinforcement Learning.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation PROTO: Iterative Policy Regularized Offline-to-Online Reinforcement Learning

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Observation 819b9590-101f-4542-b17c-1bcf0a29a9bd · outbound

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Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Off-policy deep reinforcement learning without exploration

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Observation f0f42879-8418-4202-aa5e-d81b0f110029 · outbound

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Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation An optimistic perspective on offline reinforcement learning

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Observation 29ac67b7-ce28-40b4-8b7b-21d4cd3a7124 · outbound

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Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Tree-based batch mode reinforcement learning.Journal of Machine Learning Research, 6, 2005

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Source-reported events for the cited work

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Observation 8dfcd02c-6f0d-40ba-add7-c9cfdb0124d1 · outbound

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Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Stabilizing off-policy q-learning via bootstrapping error reduction

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:29.813522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 55874838-495d-4e38-bb63-cfb272151dc6 · outbound

This paper cites Batch reinforcement learning.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Batch reinforcement learning

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:29.806240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e0640f26-8c90-42d9-bbf1-2ffbe8ff7bd0 · outbound

This paper cites Critic regularized regression.Advances in Neural Information Processing Systems, 33:7768–7778, 2020.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Critic regularized regression.Advances in Neural Information Processing Systems, 33:7768–7778, 2020

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:29.799074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f78f2176-cf11-4722-8aea-42ac0e26f1ad · outbound

This paper cites Revisiting the minimalist approach to offline reinforcement learning.Advances in Neural Information Processing Systems, 36, 2024.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Revisiting the minimalist approach to offline reinforcement learning.Advances in Neural Information Processing Systems, 36, 2024

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:29.791474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f2b04cf0-7311-4c3e-92b0-5e76903e2726 · outbound

This paper cites Behavior Regularized Offline Reinforcement Learning.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Behavior Regularized Offline Reinforcement Learning

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T19:19:29.387854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b2f9574-4016-42a6-bb3e-120b67be6ac6 · outbound

This paper cites Keep doing what worked: Behavior modelling priors for offline reinforcement learning.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Keep doing what worked: Behavior modelling priors for offline reinforcement learning

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:29.783948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bd2927dd-016b-4e78-aed0-376aab5293fa · outbound

This paper cites Offline reinforcement learning with fisher divergence critic regularization.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Offline reinforcement learning with fisher divergence critic regularization

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:29.776341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ccdaffb5-16a9-467c-9476-671ed0365b51 · outbound

This paper cites Uncertainty weighted actor-critic for offline reinforcement learning.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Uncertainty weighted actor-critic for offline reinforcement learning

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:29.768826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 89e1fb23-82cc-48ab-8963-ad7587a9de85 · outbound

This paper cites Uni-o4: Unifying online and offline deep reinforcement learning with multi-step on-policy optimization.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Uni-o4: Unifying online and offline deep reinforcement learning with multi-step on-policy optimization

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:29.760539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 963958b2-a71a-488e-8987-d9889d18be8f · outbound

This paper cites Enoto: Improving offline-to-online reinforcement learning with q-ensembles.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Enoto: Improving offline-to-online reinforcement learning with q-ensembles

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:29.753191Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ab3132ae-9778-49a4-84b9-319bea955ec4 · outbound

This paper cites Online decision transformer.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Online decision transformer

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:29.744916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fb53cca9-2672-4a72-bd95-01c21239d0cb · outbound

This paper cites Actor-critic alignment for offline-to-online reinforcement learning.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Actor-critic alignment for offline-to-online reinforcement learning

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:29.737615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1df1ff13-ab37-47fc-b576-1c1c66aaeb7e · outbound

This paper cites Train once, get a family: State-adaptive balances for offline-to-online reinforcement learning.Advances in Neural Information Processing Systems, 36, 2024.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Train once, get a family: State-adaptive balances for offline-to-online reinforcement learning.Advances in Neural Information Processing Systems, 36, 2024

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:29.730169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6e2dcd07-f1b7-45e6-b59d-b4f3974fbdbc · outbound

This paper cites Policy expansion for bridging offline-to-online reinforcement learning.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Policy expansion for bridging offline-to-online reinforcement learning

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:29.722584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9faaf102-b410-4ae3-bf10-5977dcb8ff12 · outbound

This paper cites Albrecht, and Amos Storkey.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Albrecht, and Amos Storkey

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:29.715340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation aeff3033-7800-4f74-a7f8-cfbab583a70e · outbound

This paper cites A comprehensive survey on safe reinforcement learning.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation A comprehensive survey on safe reinforcement learning

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T19:19:29.410801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 866b0f2c-0144-4aa1-857d-504538951ec7 · outbound

This paper cites Consideration of risk in reinforcement learning.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Consideration of risk in reinforcement learning

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:29.703434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ad5a7b7e-cd11-4111-a7a1-b6e87ac55b02 · outbound

This paper cites Robust control of markov decision processes with uncertain transition matrices.Operations Research, 53(5):780–798, 2005.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Robust control of markov decision processes with uncertain transition matrices.Operations Research, 53(5):780–798, 2005

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-06T19:19:29.414793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b541c8e6-7200-49c9-8b4e-0ae5f1afcb13 · outbound

This paper cites Safe offline reinforcement learning with feasibility-guided diffusion model.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Safe offline reinforcement learning with feasibility-guided diffusion model

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-06T19:19:29.416648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5de7a59-d088-434c-bc24-6fa26922873b · outbound

This paper cites Enhancing efficiency of safe reinforcement learning via sample manipulation.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Enhancing efficiency of safe reinforcement learning via sample manipulation

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-06T19:19:29.418498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46eeeb28-8e94-4f3c-80ea-c5952b29cf04 · outbound

This paper cites Curriculum learning for reinforcement learning domains: A framework and survey.Journal of Machine Learning Research, 21(181):1–50, 2020.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Curriculum learning for reinforcement learning domains: A framework and survey.Journal of Machine Learning Research, 21(181):1–50, 2020

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-06T19:19:29.420529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26abd769-ff08-447c-97a1-4a6cacf296d7 · outbound

This paper cites Causally aligned curriculum learning.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Causally aligned curriculum learning

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:29.675926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 44dea0fa-db63-40bf-b85a-0142e4bb4af6 · outbound

This paper cites Au- tomated curriculum learning for neural networks.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Au- tomated curriculum learning for neural networks

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-06T19:19:29.424889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f211236-c2b5-42f5-a24d-baed0cfe0a8c · outbound

This paper cites MIT press, 2016.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation MIT press, 2016

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-06T19:19:29.426837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b4402a7-9aa9-4766-b59a-a16ba0b5de03 · outbound

This paper cites Robust training with ensemble consensus.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Robust training with ensemble consensus

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:29.657694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3cb9dd47-d8f6-4661-b75f-d620146f0dda · outbound

This paper cites Simple and scalable predictive uncertainty estimation using deep ensembles.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Simple and scalable predictive uncertainty estimation using deep ensembles

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:29.649950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 08ad4517-5379-48f5-a9bb-e9a489d45773 · outbound

This paper cites Improving robustness and calibration in ensembles with diversity regularization.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Improving robustness and calibration in ensembles with diversity regularization

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:29.642590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8e4c9760-98c5-4ea7-bce9-973c718bbc77 · outbound

This paper cites Maximizing overall diversity for improved uncertainty estimates in deep ensembles.Proceedings of the AAAI Conference on Artificial Intelligence, 34(04):4264–4271, Apr.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Maximizing overall diversity for improved uncertainty estimates in deep ensembles.Proceedings of the AAAI Conference on Artificial Intelligence, 34(04):4264–4271, Apr

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:29.635115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 497e7924-326b-42e8-856f-d687b10c2d4b · outbound

This paper cites Improving adversarial robustness via promoting ensemble diversity.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Improving adversarial robustness via promoting ensemble diversity

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:29.628329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 98359dcb-0d9c-4d54-9794-f517139dcc7e · outbound

This paper cites Webb, Henry W.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Webb, Henry W

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:29.621218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 710834d2-13ba-415a-b6bd-246eb2e3a249 · outbound

This paper cites Ensemble of averages: Improv- ing model selection and boosting performance in domain generalization.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Ensemble of averages: Improv- ing model selection and boosting performance in domain generalization

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:29.614250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e261abd3-e9c6-43c6-ac43-171884808c09 · outbound

This paper cites Noise contrastive priors for functional uncertainty.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Noise contrastive priors for functional uncertainty

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:29.606681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7818270d-e5f4-46ad-8d86-1c2645b3c400 · outbound

This paper cites Deep exploration via bootstrapped dqn.Advances in neural information processing systems, 29, 2016.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Deep exploration via bootstrapped dqn.Advances in neural information processing systems, 29, 2016

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Resolution: unresolved; no resolver link, observed 2026-08-06T19:19:29.445060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 684f6ff6-8c3c-4228-81b9-26cf183d0e63 · outbound

This paper cites Sunrise: A simple unified framework for ensemble learning in deep reinforcement learning.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Sunrise: A simple unified framework for ensemble learning in deep reinforcement learning

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:29.594053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 80a9eb5b-5761-4b2e-85d1-a21f6b0d1547 · outbound

This paper cites Accurate uncertainty estimation and decomposition in ensemble learning.Advances in Neural Information Processing Systems, 32, 2019.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Accurate uncertainty estimation and decomposition in ensemble learning.Advances in Neural Information Processing Systems, 32, 2019

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:29.587160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 941e3176-5522-4b1d-aa8a-c91731d50bd6 · outbound

This paper cites Disentangling Epistemic and Aleatoric Uncertainty in Reinforcement Learning.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Disentangling Epistemic and Aleatoric Uncertainty in Reinforcement Learning

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-06T19:19:29.451527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42e34f71-1de2-4658-8ed3-6accdde04c70 · outbound

This paper cites Kingma and Jimmy Ba.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Kingma and Jimmy Ba

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-06T19:19:29.453605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8901a11e-c7fc-4d12-85bd-d8f69a797d87 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation Proximal Policy Optimization Algorithms

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-06T19:19:29.455963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b431425-3d5f-451c-b414-ff3fe25fd0c5 · outbound

This paper cites |R(s, a)−R(s′, a′)| ≤LR (s, a)−(s′, a′) ,∀(s, a),(s ′, a′)∈S×A,(19) and satisfies|R(s, a)| ≤Rmax.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation |R(s, a)−R(s′, a′)| ≤LR (s, a)−(s′, a′) ,∀(s, a),(s ′, a′)∈S×A,(19) and satisfies|R(s, a)| ≤Rmax

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:29.576167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e0c46e7f-3d9e-44d3-a648-8c53cd3bca6c · outbound

This paper cites We acknowledge that real-world contact dynamics can violate global Lipschitz continuity.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation We acknowledge that real-world contact dynamics can violate global Lipschitz continuity

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:29.569443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dd71c4ac-e2c6-459b-bc1e-a08fa2317c59 · outbound

This paper cites distance.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation distance

Reference 93

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T19:19:29.562216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b8dd2bd5-6ccc-44d8-8534-bf3960160fc3 · outbound

This paper cites • Depending on the country in which research is conducted, IRB approval (or equivalent) may be required for any human subjects research.

Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation • Depending on the country in which research is conducted, IRB approval (or equivalent) may be required for any human subjects research

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:29.555116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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