Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration | Paper Citation Record

Observation 29b64a58-902b-42e7-b8c8-7c39dbb83145 · outbound

This paper cites VO Q L: Towards Optimal Regret in Model-free RL with Nonlinear Function Approximation.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration VO Q L: Towards Optimal Regret in Model-free RL with Nonlinear Function Approximation

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:06.164194Z

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Observation c2935928-7172-4033-b4de-e0536c1748d6 · outbound

This paper cites Hence the right-hand side of the above inequality is a martingale difference sequence.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Hence the right-hand side of the above inequality is a martingale difference sequence

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:05.385296Z

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Observation d1430f1a-554f-4981-8768-5fe5da62a566 · outbound

This paper cites Mitigating Covariate Shift in Imitation Learning via Offline Data Without Great Coverage.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Mitigating Covariate Shift in Imitation Learning via Offline Data Without Great Coverage

Reference 7

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Observation df7ddbfb-ad7c-403d-8beb-40225c342e4c · outbound

This paper cites Deep reinforcement learning from human preferences.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Deep reinforcement learning from human preferences

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:06.103150Z

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Observation 71e633ff-c691-4c30-90cf-0455709637f0 · outbound

This paper cites Guided cost learning: Deep inverse optimal control via policy optimization.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Guided cost learning: Deep inverse optimal control via policy optimization

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:06.072586Z

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Observation 7a4acd9a-846d-455d-91cc-1b8b51483044 · outbound

This paper cites Efficient Bias-Span-Constrained Exploration-Exploitation in Reinforcement Learning.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Efficient Bias-Span-Constrained Exploration-Exploitation in Reinforcement Learning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:06.057428Z

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Observation 45e1ea72-f27c-4164-9f2b-1e274f29568d · outbound

This paper cites Ess- InfoGAIL: Semi-supervised Imitation Learning from Imbalanced Demonstrations.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Ess- InfoGAIL: Semi-supervised Imitation Learning from Imbalanced Demonstrations

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:06.041045Z

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Observation cd84756d-95f2-4c82-a4d3-743b27f40256 · outbound

This paper cites Deep Q-learning from Demonstrations.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Deep Q-learning from Demonstrations

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:06.010041Z

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Observation b133a3c7-4d75-4bfa-9866-a868c4e96ac3 · outbound

This paper cites Generative adversarial imitation learning.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Generative adversarial imitation learning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:05.993258Z

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Observation 91b69499-6cc8-42b8-ac7c-3b9f59206ec2 · outbound

This paper cites 3D Perception based Imitation Learning under Limited Demonstration for Laparoscope Control in Robotic Surgery.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration 3D Perception based Imitation Learning under Limited Demonstration for Laparoscope Control in Robotic Surgery

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:05.959186Z

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Observation c8fc85d8-5ad0-41f3-ad6c-8e10520e6407 · outbound

This paper cites Visual imitation learning with patch rewards.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Visual imitation learning with patch rewards

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:05.928351Z

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Observation 742c03b6-3d2f-41c0-bdf4-0f047d30e529 · outbound

This paper cites Online Learning: A Modern Introduction Using Convex Optimization.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Online Learning: A Modern Introduction Using Convex Optimization

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T23:01:04.854645Z

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Observation 3ff3c01e-d0ab-4d8d-9825-ff9e557cf0af · outbound

This paper cites Online Trajectory Planning in Dynamic Environments for Surgical Task Automation.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Online Trajectory Planning in Dynamic Environments for Surgical Task Automation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:05.911845Z

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Observation da17bb64-0cca-4218-9a21-124f22abb2bf · outbound

This paper cites Variational discriminator bottleneck: Improving imitation learning, inverse RL, and GANs by constraining information flow.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Variational discriminator bottleneck: Improving imitation learning, inverse RL, and GANs by constraining information flow

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:05.877453Z

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Observation f879d5e7-62b6-4b22-ae25-c9e88a38667d · outbound

This paper cites Alvinn: An autonomous land vehicle in a neural network.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Alvinn: An autonomous land vehicle in a neural network

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:05.860689Z

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Observation 3c0ea454-4000-404a-bf68-3febb61d8b92 · outbound

This paper cites Eluder dimension and the sample complexity of optimistic ex- ploration.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Eluder dimension and the sample complexity of optimistic ex- ploration

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:05.829117Z

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Observation 41ed20c2-c928-4329-931b-d583343495c6 · outbound

This paper cites State entropy maximization with random encoders for efficient exploration.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration State entropy maximization with random encoders for efficient exploration

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:05.812856Z

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Observation 8062e568-92f6-4ff9-93b5-cb188b226393 · outbound

This paper cites Optimistic policy optimization with bandit feedback.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Optimistic policy optimization with bandit feedback

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:05.797507Z

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Observation 1b72b1f6-3135-4fe2-9106-8d1b85e3984f · outbound

This paper cites Online apprenticeship learning.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Online apprenticeship learning

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:05.781367Z

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Observation 5525c199-3a0c-463a-bfe5-386352dddaef · outbound

This paper cites Error bounds of imitating policies and environments.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Error bounds of imitating policies and environments

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:05.715637Z

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Observation f4a1949e-5356-4d75-8e55-016851457701 · outbound

This paper cites Planning for sample efficient imitation learning.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Planning for sample efficient imitation learning

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:05.700048Z

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Observation 9301e7f9-9829-4f86-b4f6-69119740d485 · outbound

This paper cites Intrinsic reward driven imitation learning via generative model.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Intrinsic reward driven imitation learning via generative model

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:05.684029Z

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Observation 41454812-50d6-4cb2-ac40-31fe30f4c44a · outbound

This paper cites Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:05.668551Z

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Observation 2e8b9210-f32b-4cad-8c97-6cdc6ee02110 · outbound

This paper cites Deep imitation learning for complex manipulation tasks from virtual reality teleoperation.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Deep imitation learning for complex manipulation tasks from virtual reality teleoperation

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:05.652735Z

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Observation 56e791c1-fa1b-4b82-9e48-a56c187039e8 · outbound

This paper cites Generative adversarial imitation learning with neural network parameterization: Global optimality and convergence rate.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Generative adversarial imitation learning with neural network parameterization: Global optimality and convergence rate

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:05.636759Z

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Observation 0a00e1f4-25c7-4b9f-9038-864e591e6e5e · outbound

This paper cites A Nearly Optimal and Low-Switching Algorithm for Reinforcement Learning with General Function Approximation.arXiv preprint arXiv:2311.15238,.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration A Nearly Optimal and Low-Switching Algorithm for Reinforcement Learning with General Function Approximation.arXiv preprint arXiv:2311.15238,

Reference 43

Resolution: verified exact; raw_fallback, observed 2026-08-06T23:01:05.182636Z

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Observation 460a07f9-20da-4e1a-bd98-1d8dd9cbda12 · outbound

This paper cites Self-adaptive imitation learning: Learning tasks with delayed rewards from sub-optimal demonstrations.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Self-adaptive imitation learning: Learning tasks with delayed rewards from sub-optimal demonstrations

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:05.620954Z

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Observation 29734fda-d086-4df7-8427-4b4a258fd90f · outbound

This paper cites Maximum entropy inverse reinforcement learning.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Maximum entropy inverse reinforcement learning

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:05.604679Z

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Observation 048c802e-77c7-494e-9aee-26f4ad98270c · outbound

This paper cites Table 3: Comparison of three reward components with three attributes.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Table 3: Comparison of three reward components with three attributes

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:05.569475Z

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Observation 6b90e6a3-99bb-4dcd-b744-7602181ce3b6 · outbound

This paper cites 14 Published as a conference paper at ICLR 2025 Table 4: Demonstration lengths in the Atari environment.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration 14 Published as a conference paper at ICLR 2025 Table 4: Demonstration lengths in the Atari environment

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:05.551681Z

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Observation 24521a19-8289-447d-955c-3a17c41e9cac · outbound

This paper cites VDB constrains the information flow in the discriminator using an information bottleneck.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration VDB constrains the information flow in the discriminator using an information bottleneck

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:05.535824Z

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Observation e1069b43-fe6c-4bd7-93d9-ebe3814cbe2b · outbound

This paper cites The module is composed of several neural networks, including recognition network qϕ(z|st, st+1), a generative network pθ(st+1|z, st), and prior network pθ(z|st).

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration The module is composed of several neural networks, including recognition network qϕ(z|st, st+1), a generative network pθ(st+1|z, st), and prior network pθ(z|st)

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:05.519977Z

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Observation 8ce758f5-e18f-48de-b356-14e6c64c46bd · outbound

This paper cites State entropy estimate as bonus.Following Seo et al.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration State entropy estimate as bonus.Following Seo et al

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:05.504115Z

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Observation 626a3192-7096-406e-b367-eccaccf50ef2 · outbound

This paper cites We use the same hyperparameter setting for the different experiments within a domain (Atari vs MuJoCo), apart from a multiplicative constant based on the range of the curiosity.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration We use the same hyperparameter setting for the different experiments within a domain (Atari vs MuJoCo), apart from a multiplicative constant based on the range of the curiosity

Reference 53

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T23:01:05.470126Z

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Observation b5b7e079-11c4-4f60-8379-ce67da842a0c · outbound

This paper cites Improve vs Expert.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Improve vs Expert

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:05.453937Z

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Observation de71d438-3aa6-43c2-953c-46ad03772d60 · outbound

This paper cites Improve vs GIRIL.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Improve vs GIRIL

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:05.437406Z

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Observation 95168769-48c7-4292-8631-a800bebb5d95 · outbound

This paper cites (2023), and (3) the analysis leads to a sublinear batch-regret, which is stronger than a sample complexity bound.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration (2023), and (3) the analysis leads to a sublinear batch-regret, which is stronger than a sample complexity bound

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:05.403114Z

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Observation b7b8e7e6-2f8c-446e-af65-50d250a2a372 · outbound

This paper cites Then with probability at least1−2δ, KX k=1 J(π ∗,erk)−J(π,er k) ≤Hlog|A|/η+ηH 3K/2 + 2HK· p 8H 2 log(H· NF (ϵF )/δ) + 4ϵF N+γ·O s H N · H 2 +γ γ dimN (Fh) log(1/δ) !.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Then with probability at least1−2δ, KX k=1 J(π ∗,erk)−J(π,er k) ≤Hlog|A|/η+ηH 3K/2 + 2HK· p 8H 2 log(H· NF (ϵF )/δ) + 4ϵF N+γ·O s H N · H 2 +γ γ dimN (Fh) log(1/δ) !

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:05.368525Z

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Observation c65daf9e-c0af-46ef-aa7d-b44bcf0bcbee · outbound

This paper cites Lemma D.2(Self-normalized bound for scalar-valued martingales).Consider random variables (vn|n∈N) adapted to the filtration (Hn :n= 0,1, ...).

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Lemma D.2(Self-normalized bound for scalar-valued martingales).Consider random variables (vn|n∈N) adapted to the filtration (Hn :n= 0,1, ...)

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:05.352347Z

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Observation 15ae85a1-92f2-4ddd-a953-0fecbb8f89a3 · outbound

This paper cites Table 16 shows the MLP architectures, i.e., GIRIL’s encoder and decoder and V AIL’s discriminator.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Table 16 shows the MLP architectures, i.e., GIRIL’s encoder and decoder and V AIL’s discriminator

Reference 100

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T23:01:05.419654Z

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Observation 3dca2e0c-e864-40b9-ab17-07e8e35015c4 · outbound

This paper cites Toward the fundamental limits of imitation learning.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Toward the fundamental limits of imitation learning

Reference 1988

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:05.844783Z

Source-reported events for the cited work

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Observation ed4f5999-4c14-45f7-a129-809e339dc0d1 · outbound

This paper cites Relative entropy inverse reinforcement learning.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Relative entropy inverse reinforcement learning

Reference 2002

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:06.149046Z

Source-reported events for the cited work

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Observation 5d5afa12-317f-4884-ad1f-fee39e977ae9 · outbound

This paper cites Learning structured output representation using deep conditional generative models.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Learning structured output representation using deep conditional generative models

Reference 2003

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:05.765510Z

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Observation b5aefac0-2d17-4260-a7a9-046d7ec9f654 · outbound

This paper cites and Bagnell, J.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration and Bagnell, J

Reference 2008

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:05.586670Z

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Observation 49dc83bb-418a-48f0-a380-a4f038286589 · outbound

This paper cites Provably efficient reinforcement learning with linear function approximation.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Provably efficient reinforcement learning with linear function approximation

Reference 2010

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:05.975912Z

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Observation d20c8eb2-84bc-45df-a5cb-92e43fa43df2 · outbound

This paper cites OpenAI Gym.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration OpenAI Gym

Reference 2011

Resolution: unresolved; no resolver link, observed 2026-08-06T23:01:04.762311Z

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Observation ffb10c27-9f1e-4529-a1b7-1c24fc875d59 · outbound

This paper cites Proximal point imitation learning.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Proximal point imitation learning

Reference 2012

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:05.731530Z

Source-reported events for the cited work

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Observation 35da6538-f151-47cf-8194-bc640d1ed319 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Proximal Policy Optimization Algorithms

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-06T23:01:04.893867Z

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Observation 9b272b49-a52a-4f0a-9472-499bc4ac3db2 · outbound

This paper cites Curiosity-driven exploration by self-supervised prediction.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Curiosity-driven exploration by self-supervised prediction

Reference 2014

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:05.895423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e4ddb88d-b381-4354-b3c4-c767fd83b6c0 · outbound

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

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Mujoco: A physics engine for model-based control

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:05.748282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 22552bf1-f381-4fa2-b776-3e639ded67e3 · outbound

This paper cites Extrapolating beyond sub- optimal demonstrations via inverse reinforcement learning from observations.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Extrapolating beyond sub- optimal demonstrations via inverse reinforcement learning from observations

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:06.133533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 43d0ada8-eb40-4889-bc2d-e2d7d8a241d2 · outbound

This paper cites End-to- end driving via conditional imitation learning.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration End-to- end driving via conditional imitation learning

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:06.088173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8fc4b90e-23d8-42d3-8a74-998af7883bec · outbound

This paper cites On the Global Convergence of Imitation Learning: A Case for Linear Quadratic Regulator.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration On the Global Convergence of Imitation Learning: A Case for Linear Quadratic Regulator

Reference 2018

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:01:05.300489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d5d1a19d-f8db-45e8-8aa7-21be4d6cd5cb · outbound

This paper cites Large-Scale Study of Curiosity-Driven Learning.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Large-Scale Study of Curiosity-Driven Learning

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-06T23:01:04.773534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e83f2d93-b30d-44a7-afce-4c234c4597cf · outbound

This paper cites Hybrid Inverse Reinforcement Learning.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Hybrid Inverse Reinforcement Learning

Reference 2020

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:01:05.226854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 82a4e234-d90e-4be9-9f52-028324fb64e7 · outbound

This paper cites On Computation and Generalization of Generative Adversarial Imitation Learning.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration On Computation and Generalization of Generative Adversarial Imitation Learning

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:06.117953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f1698227-9077-41f4-b4ab-59ce9bea3dab · outbound

This paper cites Imitation Learning from Imperfection: Theoretical Justifications and Algorithms.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Imitation Learning from Imperfection: Theoretical Justifications and Algorithms

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:05.943710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 47b4d814-94b0-4d36-972e-c16de17b9058 · outbound

This paper cites IQ-Learn: Inverse soft-Q Learning for Imitation.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration IQ-Learn: Inverse soft-Q Learning for Imitation

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:06.025396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8276749f-f8d1-469e-8c3e-e8d28e216c89 · outbound

This paper cites Exploration via Elliptical Episodic Bonuses.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Exploration via Elliptical Episodic Bonuses

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T23:01:04.822802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 009e47ab-f081-4445-8d6d-f6bf83f30407 · outbound

This paper cites For a fair comparison, we used an identical policy network for all methods.

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration For a fair comparison, we used an identical policy network for all methods

Reference 5184

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:01:05.488424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Reference resolution

Outbound references

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