conftrace_

Methods

8,258 papers (12 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Deep RL (4,525) Policy Learning (2,633) Multi-Agent Systems (1,251) Offline RL (1,025) Model-Based RL (291) Meta-Learning (80)

Papers per year

6

1

2

2

16

21

24

16

31

36

44

47

44

37

63

171

350

606

801

920

974

1,144

1,380

1,203

319

'5

'10

'15

'20

'25

Papers (including subtopics)

ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles IJCAI 2024 Entity-Centric Reinforcement Learning for Object Manipulation from Pixels ICLR 2024 Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement Learning NeurIPS 2024 Environment Design for Inverse Reinforcement Learning ICML 2024 Episodic Future Thinking Mechanism for Multi-agent Reinforcement Learning NeurIPS 2024 Episodic Return Decomposition by Difference of Implicitly Assigned Sub-trajectory Reward AAAI 2024 EPO: Hierarchical LLM Agents with Environment Preference Optimization EMNLP 2024 EquiBot: SIM(3)-Equivariant Diffusion Policy for Generalizable and Data Efficient Learning CoRL 2024 Equivariant Diffusion Policy CoRL 2024 ERL-TD: Evolutionary Reinforcement Learning Enhanced with Truncated Variance and Distillation Mutation AAAI 2024 EROS:Entity-Driven Controlled Policy Document Summarization COLING 2024 EscIRL: Evolving Self-Contrastive IRL for Trajectory Prediction in Autonomous Driving CoRL 2024 ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation AAAI 2024 Ethics in Action: Training Reinforcement Learning Agents for Moral Decision-making In Text-based Adventure Games AISTATS 2024 EVaDE : Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning ACML 2024 Evaluating Transformer-Enhanced Deep Reinforcement Learning for Speech Emotion Recognition Interspeech 2024 Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation ACL 2024 EvIL: Evolution Strategies for Generalisable Imitation Learning ICML 2024 Evolutionary Reward Design and Optimization with Multimodal Large Language Models ACL 2024 EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search ICML 2024 Exact Policy Recovery in Offline RL with Both Heavy-Tailed Rewards and Data Corruption AAAI 2024 Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking NeurIPS 2024 Exclusively Penalized Q-learning for Offline Reinforcement Learning NeurIPS 2024 Expectation Alignment: Handling Reward Misspecification in the Presence of Expectation Mismatch NeurIPS 2024 Expediting Reinforcement Learning by Incorporating Knowledge About Temporal Causality in the Environment CLeaR 2024