Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-09T12:38:14.369887Z
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 9 inbound Pith citation observations for arXiv:2502.02316.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-09T12:38:14.369887Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T19:28:41.716079Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T08:59:43.293825Z
79 of 79 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 203afd33-f713-4722-bd17-58eab248641f · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning write newline
Reference 1
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Observation 0b88acfd-b643-49d0-81f6-9cd71d0fb879 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Unresolved cited work
Reference 2
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Observation ee4f3bbf-ae68-44f5-bb53-dff5915592a1 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning S., Courville, A
Reference 3
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Observation 3a48d042-edd4-4ae0-9f7f-5076055408ed · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Iterated Denoising Energy Matching for Sampling from Boltzmann Densities
Reference 4
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Observation 1ec41a2f-6a9f-44b1-9967-682e6019bcb6 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Unresolved cited work
Reference 5
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Observation acf952e3-931d-467a-b8c5-3b34a8ce8f42 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Efficient gradient-free variational inference using policy search
Reference 6
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Observation 0a0eb642-e926-44f4-b258-70818517bb84 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning G., Dabney, W., and Munos, R
Reference 7
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Observation 1e46971f-fe93-4dee-908a-e3e3943f2acc · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning An optimal control perspective on diffusion-based generative modeling
Reference 8
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Observation c8944175-5d6f-43dd-9944-97d74e1ce9ff · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Crossq: Batch normalization in deep reinforcement learning for greater sample efficiency and simplicity
Reference 9
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Observation 24adc66f-f8fd-4d60-9a19-b4e0607a3011 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Underdamped diffusion bridges with applications to sampling
Reference 10
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Observation 33f623d8-5a90-49f1-b532-dcf9af660a1f · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning End-to-end learning of gaussian mixture priors for diffusion sampler
Reference 11
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Observation 6df01a18-2c97-49ef-bbbd-a2ed5019a634 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Openai gym, 2016
Reference 12
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Observation ce76b231-caf9-4a2b-8ba3-cd28ad1c8ff1 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Tightness without Counterexamples: A New Approach and New Results for Prophet Inequalities
Reference 13
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Observation af2db694-a77b-4c8a-be46-091df0cbb3a6 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Offline reinforcement learning via high-fidelity generative behavior modeling
Reference 14
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Observation 463b306f-e696-4d5d-a00e-8141d85cd41a · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Sequential Controlled Langevin Diffusions
Reference 15
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Observation 656a7fcb-641d-49db-a591-b4ae7eeadf75 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Sequential controlled langevin diffusions
Reference 16
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Observation af58e749-21bc-44d5-9cb4-7d66cd8c2d97 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Diffusion policy: Visuomotor policy learning via action diffusion
Reference 17
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Observation 8be1a765-d9d0-4d70-8b05-ad06f40602ae · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Unresolved cited work
Reference 18
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Observation a7279a3d-3df2-4438-bbbe-ad2886b1b3e9 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning A stochastic control approach to reciprocal diffusion processes
Reference 19
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Observation e5e22f54-b8a5-40ec-8f10-5b7533763a68 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Sequential monte carlo samplers
Reference 20
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Observation 44b83fed-ed29-42bb-9776-08a3c386a602 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Diffusion-based reinforcement learning via q-weighted variational policy optimization
Reference 21
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Observation 38113b63-1b87-44a1-9ff4-3a91fb5f4048 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning and Jin, C
Reference 22
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Observation 4e73b97f-d16e-44bc-8199-27bacc96820a · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning G., and Strathmann, H
Reference 23
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Observation 7c606447-b7d7-4c41-a6fb-043a47e367a8 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Diffusion actor-critic: Formulating constrained policy iteration as diffusion noise regression for offline reinforcement learning
Reference 24
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Observation 9513d163-9d7d-4f26-9adf-765f629775ab · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning and Domke, J
Reference 25
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Observation f0559be9-0003-4eec-ac08-c22b2a65e4e7 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Reinforcement learning with deep energy-based policies
Reference 26
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Observation 27bf4433-5563-4170-8138-df713dab2298 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Latent space policies for hierarchical reinforcement learning
Reference 27
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Observation 9d579252-3905-44b2-9baa-656604c177a0 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor
Reference 28
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Observation e8e530f3-f95b-423b-9935-697a180111ae · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Soft Actor-Critic Algorithms and Applications
Reference 29
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Observation 99b2ad79-7c1e-41aa-bb7f-361477653df9 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies
Reference 30
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Observation c395e1eb-532b-4fd5-b9a9-98c9649bfa0b · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Unresolved cited work
Reference 31
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Observation b813972e-5a86-417c-8a3a-17c3f56d04a9 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Denoising diffusion probabilistic models
Reference 32
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Observation c4cd67f8-4626-4693-9bec-ce5961d57d34 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Schr{\"o}dinger-F{\"o}llmer Sampler: Sampling without Ergodicity
Reference 33
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Observation cc8de289-3168-40d6-87da-1bbb62609350 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning and Dayan, P
Reference 34
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Observation b30079e6-bd0e-4bdc-b0fd-08b46ee2c299 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning N., and Precup, D
Reference 35
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Observation e7811df2-12a0-49fb-85f8-da4e426314a7 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Planning with diffusion for flexible behavior synthesis
Reference 36
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Observation 0db103f9-73cf-4dbe-b5a4-f6b31590b611 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Efficient diffusion policies for offline reinforcement learning
Reference 37
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Observation 4a3676ed-ea1c-434d-bd8f-eb1b1a52240f · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Elucidating the design space of diffusion-based generative models
Reference 38
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Observation 619b962a-90db-43ce-af48-88db610c544a · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Auto-Encoding Variational Bayes
Reference 39
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Observation 7d12ff7c-cc09-4caf-9e15-e7eae1c7b510 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Batch reinforcement learning
Reference 40
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Observation a4f75e3d-f77f-496d-b070-bb2927c87969 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Reference 41
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Observation f2638d14-02d0-4a9c-a77e-617b1d26d5a7 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning TOP - ERL : Transformer-based off-policy episodic reinforcement learning
Reference 42
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Observation 4809b0cd-c429-4c4f-b974-d3063e183d79 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient
Reference 43
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Observation 87c1541d-f4e7-4906-affb-894f06ebfd19 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Contrastive energy prediction for exact energy-guided diffusion sampling in offline reinforcement learning
Reference 44
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Observation dadef05a-23ca-40c2-a96b-e75e2feae13f · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning K., S nderby, S
Reference 45
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Observation 3e71aaa3-867c-479a-87cb-e80a15e5436f · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Diffusion-dice: In-sample diffusion guidance for offline reinforcement learning
Reference 46
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Observation ee81219c-e089-40aa-86c3-9eda621f0f89 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning S 2 ac: Energy-based reinforcement learning with stein soft actor critic
Reference 47
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Observation ec591d77-e5aa-410d-9103-9717ef832ab5 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning and Cygan, M
Reference 48
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Observation 21ce8d20-963b-4570-b0b2-b1edcab3dbad · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Bigger, regularized, optimistic: scaling for compute and sample efficient continuous control
Reference 49
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Observation 0d0cf4b9-2ca5-4469-9217-ad12a71951db · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Dynamical theories of Brownian motion, volume 101
Reference 50
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Observation 3e64df8a-1914-47a3-ae76-c34cd0f92849 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning A unified view of entropy-regularized Markov decision processes
Reference 51
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Observation faf27320-67d3-4d0b-9d64-e93315eb1116 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning The primacy bias in deep reinforcement learning
Reference 52
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Observation 36c8d1e6-630b-49e8-904c-4fd4f53c5b79 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Learned Reference-based Diffusion Sampling for multi-modal distributions
Reference 53
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Observation 79dc8dc3-bef3-450e-8809-6ebb33be4dd1 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Transport meets variational inference: Controlled monte carlo diffusions
Reference 54
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Observation 65b5d15c-9889-4cad-a67d-59fb089fc7c4 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Learning a diffusion model policy from rewards via q-score matching
Reference 55
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Observation a09c9356-1294-41c0-aced-32c735fcf081 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Hierarchical variational models
Reference 56
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Observation 48824140-2a73-4abc-8ac3-5b49f513846a · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Goal conditioned imitation learning using score-based diffusion policies
Reference 57
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Observation bf533dbe-5035-4d60-95d8-7fc5f0b1272a · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning and Berner, J
Reference 58
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Observation 8066ba5f-6ffb-4f13-aae4-5d5bfa5373fd · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning and Solin, A
Reference 59
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Observation 49810f60-65f7-42f6-be15-4089eae599a3 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Deep unsupervised learning using nonequilibrium thermodynamics
Reference 60
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Observation 4a897596-edc0-4c6f-a83a-80b65c8d7af8 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning P., Kumar, A., Ermon, S., and Poole, B
Reference 61
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Observation 8a635f3c-89eb-4d7e-8911-58e4c8084279 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Unresolved cited work
Reference 62
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DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Robot trajectory optimization using approximate inference
Reference 63
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Observation 9763709c-6b80-4d9c-8840-3b43a1535995 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning The Variational Gaussian Process
Reference 64
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Observation ff43e272-9320-469a-8ee0-6c9e1396a6f4 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning dm\_control: Software and tasks for continuous control
Reference 65
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Observation 69b67f08-7650-40ed-a1b9-5f1687fedf9b · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning and Raginsky, M
Reference 66
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DIME:Diffusion-Based Maximum Entropy Reinforcement Learning S., and Doucet, A
Reference 67
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Observation 1c194d97-1288-425b-aac3-d239516cb03e · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning u sken, N. Bayesian learning via neural schr \
Reference 68
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Observation 3f4c3ba9-d9a9-40e2-a540-ad9028288e9b · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning A connection between score matching and denoising autoencoders
Reference 69
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DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning
Reference 70
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Observation d88d61d6-91e0-4f62-bfc3-e70fa9569d23 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Unresolved cited work
Reference 71
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DIME:Diffusion-Based Maximum Entropy Reinforcement Learning J., and Zhou, M
Reference 72
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Reference 73
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DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Policy Representation via Diffusion Probability Model for Reinforcement Learning
Reference 74
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DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization
Reference 75
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Observation d08cbb27-c32e-473a-908d-8bf8a07390c5 · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Path Integral Sampler: a stochastic control approach for sampling
Reference 76
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DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Variational distillation of diffusion policies into mixture of experts
Reference 77
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Observation 1f801739-e362-4d39-832d-213bf9037dcb · outbound
DIME:Diffusion-Based Maximum Entropy Reinforcement Learning Unresolved cited work
Reference 78
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Observation fb8be11c-3caf-4f86-8891-52385aa1d29e · outbound
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Reference 79
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Efficient Online Reinforcement Learning for Diffusion Policy DIME:Diffusion-Based Maximum Entropy Reinforcement Learning
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Observation 196e2f66-e015-4103-afdd-e02e0063ebff · inbound
Towards Adaptive External Communication in Autonomous Vehicles: A Conceptual Design Framework DIME:Diffusion-Based Maximum Entropy Reinforcement Learning
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Observation 8d1c6be2-7ef3-4375-abe0-0e9490bfdf28 · inbound
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Reference 9
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Observation 05f10b2f-7194-469d-bc18-beb18aa47576 · inbound
Diffusion-Augmented Markov Decision Processes for Maximum Entropy Reinforcement Learning DIME:Diffusion-Based Maximum Entropy Reinforcement Learning
Reference 2019
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Observation 381c37d3-3f20-4a73-ad9e-f78ea0c83536 · inbound
What Does Flow Matching Bring To TD Learning? DIME:Diffusion-Based Maximum Entropy Reinforcement Learning
Reference 8
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Observation 7cac92bc-43fa-43a4-be54-8d13bcb37acb · inbound
GeMPO: Generalized Measure Matching for Online Diffusion Reinforcement Learning DIME:Diffusion-Based Maximum Entropy Reinforcement Learning
Reference 6
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Observation ced346c7-6915-4d10-92b2-1a7f1e1466dc · inbound
GenPO++: Generative Policy Optimization with Jacobian-free Likelihood Ratios DIME:Diffusion-Based Maximum Entropy Reinforcement Learning
Reference 4
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Observation 7de4cdf8-7b7b-45db-a400-1f8dc992d368 · inbound
Scalable Maximum Entropy Reinforcement Learning for Diffusion Policies via Adjoint Matching DIME:Diffusion-Based Maximum Entropy Reinforcement Learning
Reference 15
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