Exploratory Diffusion Model for Unsupervised Reinforcement Learning | Paper Citation Record

Observation 717804df-2c64-4226-83eb-f028019cddf1 · outbound

This paper cites Deep reinforcement learning at the edge of the statistical precipice.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Deep reinforcement learning at the edge of the statistical precipice

Reference 1

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Observation 1186c289-b8cd-485a-8f62-13bd7c4d93da · outbound

This paper cites Tenenbaum, Tommi S.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Tenenbaum, Tommi S

Reference 2

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Observation 52013a13-f6fb-4638-a35d-f2950327fed6 · outbound

This paper cites Diffusion for World Modeling: Visual Details Matter in Atari.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Diffusion for World Modeling: Visual Details Matter in Atari

Reference 3

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Observation 1c04bd1b-5546-4893-bbf7-dd6bb3d3540b · outbound

This paper cites Random polytopes, convex bodies, and approximation.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Random polytopes, convex bodies, and approximation

Reference 4

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Observation b5f258a2-ebde-445b-a142-3e292e93ebe1 · outbound

This paper cites Constrained Ensemble Exploration for Unsupervised Skill Discovery.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Constrained Ensemble Exploration for Unsupervised Skill Discovery

Reference 5

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Observation 8f7e1583-b62b-47d7-81c5-d76e8d9c4e00 · outbound

This paper cites Exploration by random network distillation.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Exploration by random network distillation

Reference 6

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Observation 9ce0c823-a0ac-4384-888a-ad82f96ec597 · outbound

This paper cites Explore, discover and learn: Unsupervised discovery of state-covering skills.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Explore, discover and learn: Unsupervised discovery of state-covering skills

Reference 7

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Observation 4f41f3bf-524c-4d7d-b5ec-4ce13f26c927 · outbound

This paper cites DIME:Diffusion-Based Maximum Entropy Reinforcement Learning.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning DIME:Diffusion-Based Maximum Entropy Reinforcement Learning

Reference 8

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Observation 749b2cf6-799b-4bcd-ad89-0bd4e41b92a5 · outbound

This paper cites Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion

Reference 9

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Observation 193876ed-7802-427e-94db-c299f5ddd8df · outbound

This paper cites Simple Hierarchical Planning with Diffusion.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Simple Hierarchical Planning with Diffusion

Reference 10

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Observation 249abdf1-5bc1-4cb2-b12b-91895894bbe9 · outbound

This paper cites Offline reinforcement learning via high-fidelity generative behavior modeling.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Offline reinforcement learning via high-fidelity generative behavior modeling

Reference 11

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Observation b00d0d5a-5bcb-4ec0-81b1-cf47f5dbac27 · outbound

This paper cites Aligning Diffusion Behaviors with Q-functions for Efficient Continuous Control.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Aligning Diffusion Behaviors with Q-functions for Efficient Continuous Control

Reference 12

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Observation 20988d13-2fcd-4b7a-9bad-507db77e9192 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Diffusion policy: Visuomotor policy learning via action diffusion

Reference 13

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Observation b8dca37e-e625-40fc-98d4-dffeb92cb3b0 · outbound

This paper cites Diffusion Posterior Sampling for General Noisy Inverse Problems.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Diffusion Posterior Sampling for General Noisy Inverse Problems

Reference 14

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Observation f1b9aff1-ba8b-4410-81e3-dbf0334efd1a · outbound

This paper cites Diffusion models beat gans on image synthesis.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Diffusion models beat gans on image synthesis

Reference 15

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Observation 5bc01a3b-00f9-4a54-837c-210713bbf508 · outbound

This paper cites Diffusion World Model: Future Modeling Beyond Step-by-Step Rollout for Offline Reinforcement Learning.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Diffusion World Model: Future Modeling Beyond Step-by-Step Rollout for Offline Reinforcement Learning

Reference 16

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Observation cba315ae-fa8a-4bee-abeb-1f10bb41e019 · outbound

This paper cites Diversity is all you need: Learning skills without a reward function.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Diversity is all you need: Learning skills without a reward function

Reference 17

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Observation 54de6cbc-71f0-46b0-a13f-32ea678baa77 · outbound

This paper cites The information geometry of unsupervised reinforcement learning.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning The information geometry of unsupervised reinforcement learning

Reference 18

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Observation e6ded4df-fa16-481d-ac4b-24d104174cae · outbound

This paper cites Reinforcement learning with deep energy-based policies.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Reinforcement learning with deep energy-based policies

Reference 19

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Observation 8b9f12ab-cea0-4ef4-984c-bbdd091494d1 · outbound

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

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor

Reference 20

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Observation 1803d2cc-0e49-4e91-8a24-4828acd0e416 · outbound

This paper cites IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies

Reference 21

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Observation d90fbec2-cc75-4562-a0d7-519a7e761017 · outbound

This paper cites Diffusion model is an effective planner and data synthesizer for multi-task reinforcement learning.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Diffusion model is an effective planner and data synthesizer for multi-task reinforcement learning

Reference 22

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Observation 65d6ffed-8431-4bc1-a236-6b8da9905ac9 · outbound

This paper cites Denoising diffusion probabilistic models.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Denoising diffusion probabilistic models

Reference 23

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Observation 09ba4fbd-d15c-448d-86d4-586560b38a47 · outbound

This paper cites Langevin Soft Actor-Critic: Efficient Exploration through Uncertainty-Driven Critic Learning.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Langevin Soft Actor-Critic: Efficient Exploration through Uncertainty-Driven Critic Learning

Reference 24

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Observation 64ea5b7d-a4d1-46a6-b3d7-bc072f27085f · outbound

This paper cites Planning with diffusion for flexible behavior synthesis.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Planning with diffusion for flexible behavior synthesis

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:21:19.358510Z

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Observation 0c81c733-6952-4b95-b4ef-2d8cb7a0c569 · outbound

This paper cites Efficient diffusion policies for offline reinforcement learning.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Efficient diffusion policies for offline reinforcement learning

Reference 26

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Observation 3204f4ed-570d-404d-a18a-3d0ca8e4e2a1 · outbound

This paper cites Unsupervised skill discovery with bottleneck option learning.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Unsupervised skill discovery with bottleneck option learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:21:19.333288Z

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Observation edc71b78-a83a-4795-9c54-6c4638cda4b5 · outbound

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

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Offline reinforcement learning with implicit q-learning

Reference 28

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Observation 73b8f274-5633-4882-8931-202c37755d65 · outbound

This paper cites Unsuper- vised reinforcement learning with contrastive intrinsic control.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Unsuper- vised reinforcement learning with contrastive intrinsic control

Reference 29

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Observation cf259c37-eb98-47a3-ad23-3cb9c6052bb5 · outbound

This paper cites Urlb: Unsupervised reinforcement learning benchmark.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Urlb: Unsupervised reinforcement learning benchmark

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:21:19.289871Z

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Observation b4104a14-fb61-4278-a931-3d2289529bc0 · outbound

This paper cites Efficient Exploration via State Marginal Matching.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Efficient Exploration via State Marginal Matching

Reference 31

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Observation 5c091b6d-b0e9-499a-b58b-8156c8a0d9ec · outbound

This paper cites Hierarchical diffusion for offline decision making.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Hierarchical diffusion for offline decision making

Reference 32

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Observation 5d47d839-47e1-4e91-8bf6-b317946c851b · outbound

This paper cites Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient

Reference 33

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Observation 6c2cff4f-45cc-4e34-84b6-a9c51d4e44ad · outbound

This paper cites Adaptdiffuser: Diffusion models as adaptive self-evolving planners.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Adaptdiffuser: Diffusion models as adaptive self-evolving planners

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:21:19.256958Z

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Observation bb26dcbb-b4dd-4744-8451-210dee826867 · outbound

This paper cites Continuous control with deep reinforcement learning.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Continuous control with deep reinforcement learning

Reference 35

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Observation acacfe4a-278d-49ad-9b0e-3b4e0ab72907 · outbound

This paper cites Aps: Active pretraining with successor features.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Aps: Active pretraining with successor features

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:21:19.241608Z

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Observation 6e3ab296-d29d-45aa-8575-4f2845740779 · outbound

This paper cites Behavior from the void: Unsupervised active pre-training.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Behavior from the void: Unsupervised active pre-training

Reference 37

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Observation 436e4d5e-93f0-458f-9091-e6ccdef8eb7a · outbound

This paper cites Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning

Reference 38

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Observation 43d3f187-783d-4d0c-bf6d-39429be652df · outbound

This paper cites Contrastive energy prediction for exact energy-guided diffusion sampling in offline reinforcement learning.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Contrastive energy prediction for exact energy-guided diffusion sampling in offline reinforcement learning

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:21:19.210145Z

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Observation d6dd9ac4-0c13-4e8e-ba70-a58255ea0506 · outbound

This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps

Reference 40

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Observation cab513be-a52c-4aa6-841e-378ec63bd8f9 · outbound

This paper cites Synthetic experience replay.Advances in Neural Information Processing Systems, 36, 2024.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Synthetic experience replay.Advances in Neural Information Processing Systems, 36, 2024

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:21:19.182147Z

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Observation e1fcfedc-9fa5-464d-813c-f463941d62e6 · outbound

This paper cites Efficient Online Reinforcement Learning for Diffusion Policy.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Efficient Online Reinforcement Learning for Diffusion Policy

Reference 42

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Observation 4c5de78b-2d75-439a-83d5-9af270e71cc1 · outbound

This paper cites Policy Agnostic RL: Offline RL and Online RL Fine-Tuning of Any Class and Backbone.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Policy Agnostic RL: Offline RL and Online RL Fine-Tuning of Any Class and Backbone

Reference 43

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Observation ad88db33-c4b8-4834-933b-e230cbf6614d · outbound

This paper cites Curiosity-driven exploration via latent bayesian surprise.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Curiosity-driven exploration via latent bayesian surprise

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:21:19.166694Z

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Observation e36c7829-ae27-43f0-8d40-9e40197bdf24 · outbound

This paper cites Lipschitz-constrained unsupervised skill discovery.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Lipschitz-constrained unsupervised skill discovery

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:21:19.151235Z

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Observation 25988992-dc49-4b2d-b2c8-54d202233e5e · outbound

This paper cites METRA: Scalable Unsupervised RL with Metric-Aware Abstraction.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning METRA: Scalable Unsupervised RL with Metric-Aware Abstraction

Reference 46

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Observation de555d34-5ec6-4044-b0ab-c4e20ecf47c2 · outbound

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

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Curiosity-driven exploration by self-supervised prediction

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:21:19.135131Z

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Observation 360a91dc-9430-4d88-ad63-b63cf128d0fd · outbound

This paper cites Self-supervised exploration via disagreement.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Self-supervised exploration via disagreement

Reference 48

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Observation b957b3af-87ce-4b1b-b3ef-1e63cc384755 · outbound

This paper cites Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning

Reference 49

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Observation 42042865-f0ce-403b-a6f5-260f47240610 · outbound

This paper cites Learning a Diffusion Model Policy from Rewards via Q-Score Matching.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Learning a Diffusion Model Policy from Rewards via Q-Score Matching

Reference 50

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Observation 06931fde-8a40-45aa-87d0-7d1de4e1d46c · outbound

This paper cites Diffusion Policy Policy Optimization.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Diffusion Policy Policy Optimization

Reference 51

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Observation 2707d75e-063d-4aec-be49-31b33b7b274d · outbound

This paper cites Photorealistic text-to- image diffusion models with deep language understanding.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Photorealistic text-to- image diffusion models with deep language understanding

Reference 52

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Observation db3205d2-3abc-442f-97a3-48c031397268 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 53

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Observation cbbf8218-1a96-4e75-b11d-10589a6f930c · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Deep unsupervised learning using nonequilibrium thermodynamics

Reference 54

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Observation 9c1c4d90-8598-49f0-8f25-d4866102963a · outbound

This paper cites Denoising diffusion implicit models.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Denoising diffusion implicit models

Reference 55

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Observation 413bb471-9086-4afb-904a-9a6070a93c95 · outbound

This paper cites Score-based generative modeling through stochastic differential equations.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Score-based generative modeling through stochastic differential equations

Reference 56

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Observation 0b3437f2-eb5b-4c53-89d8-2a520ae2f4b7 · outbound

This paper cites Reinforcement learning: An introduction.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Reinforcement learning: An introduction

Reference 57

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Observation 55ee6be8-6836-40f9-a899-c5f22e3d4788 · outbound

This paper cites DeepMind Control Suite.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning DeepMind Control Suite

Reference 58

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Observation bce0a378-af0f-4c70-a587-9312f03ea012 · outbound

This paper cites Prioritized Generative Replay.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Prioritized Generative Replay

Reference 59

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This paper cites Diffusion policies as an expressive policy class for offline reinforcement learning.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Diffusion policies as an expressive policy class for offline reinforcement learning

Reference 60

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This paper cites A problem in geometric probability.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning A problem in geometric probability

Reference 61

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This paper cites Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration

Reference 62

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This paper cites Policy Representation via Diffusion Probability Model for Reinforcement Learning.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Policy Representation via Diffusion Probability Model for Reinforcement Learning

Reference 63

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This paper cites Behavior contrastive learning for unsupervised skill discovery.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Behavior contrastive learning for unsupervised skill discovery

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:21:19.022950Z

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This paper cites Peac: Unsupervised pre-training for cross-embodiment reinforcement learning.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Peac: Unsupervised pre-training for cross-embodiment reinforcement learning

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:21:19.006929Z

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This paper cites Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk

Reference 66

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This paper cites Automatic intrinsic reward shaping for exploration in deep reinforcement learning.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Automatic intrinsic reward shaping for exploration in deep reinforcement learning

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:21:18.989867Z

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Observation 97a9345c-5642-4da6-94fc-5352cf84b381 · outbound

This paper cites EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model

Reference 68

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This paper cites A mixture of surprises for unsupervised reinforcement learning.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning A mixture of surprises for unsupervised reinforcement learning

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:21:18.973702Z

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Observation a33c2e8f-595f-448c-ba50-fecddc257fad · outbound

This paper cites Diffusion Models for Reinforcement Learning: A Survey.

Exploratory Diffusion Model for Unsupervised Reinforcement Learning Diffusion Models for Reinforcement Learning: A Survey

Reference 70

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