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

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'25

Papers (including subtopics)

Rethinking Decision Transformer via Hierarchical Reinforcement Learning ICML 2024 Rethinking Discount Regularization: New Interpretations, Unintended Consequences, and Solutions for Regularization in Reinforcement Learning JMLR 2024 Rethinking Exploration in Reinforcement Learning with Effective Metric-Based Exploration Bonus NeurIPS 2024 Rethinking Inverse Reinforcement Learning: from Data Alignment to Task Alignment NeurIPS 2024 Rethinking Model-based, Policy-based, and Value-based Reinforcement Learning via the Lens of Representation Complexity NeurIPS 2024 Rethinking Optimal Transport in Offline Reinforcement Learning NeurIPS 2024 Rethinking the Role of Proxy Rewards in Language Model Alignment EMNLP 2024 Rethinking Transformers in Solving POMDPs ICML 2024 Retrospex: Language Agent Meets Offline Reinforcement Learning Critic EMNLP 2024 REValueD: Regularised Ensemble Value-Decomposition for Factorisable Markov Decision Processes ICLR 2024 Reverse Forward Curriculum Learning for Extreme Sample and Demo Efficiency ICLR 2024 Revisiting Data Augmentation in Deep Reinforcement Learning ICLR 2024 Revisiting Scalable Hessian Diagonal Approximations for Applications in Reinforcement Learning ICML 2024 Reward Certification for Policy Smoothed Reinforcement Learning AAAI 2024 Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning ICLR 2024 Reward Engineering for Generating Semi-structured Explanation EACL 2024 Reward-Free Curricula for Training Robust World Models ICLR 2024 Rewarding What Matters: Step-by-Step Reinforcement Learning for Task-Oriented Dialogue EMNLP 2024 Reward Machines for Deep RL in Noisy and Uncertain Environments NeurIPS 2024 Reward Modeling Requires Automatic Adjustment Based on Data Quality EMNLP 2024 Reward Model Learning vs. Direct Policy Optimization: A Comparative Analysis of Learning from Human Preferences ICML 2024 Reward Penalties on Augmented States for Solving Richly Constrained RL Effectively AAAI 2024 Reward-Relevance-Filtered Linear Offline Reinforcement Learning AISTATS 2024 Reward-Respecting Subtasks for Model-Based Reinforcement Learning (Abstract Reprint) AAAI 2024 Reward Shaping for Reinforcement Learning with An Assistant Reward Agent ICML 2024