Reinforcement Learning
9,982 papers (145 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
6
2
2
9
27
30
36
20
43
49
59
61
58
51
83
216
419
722
966
1,128
1,156
1,384
1,648
1,445
362
'5
'10
'15
'20
'25
Papers (including subtopics)
RePALM: Popular Quote Tweet Generation via Auto-Response Augmentation
ACL 2024
Representation-Based Robustness in Goal-Conditioned Reinforcement Learning
AAAI 2024
Residual learning and context encoding for adaptive offline-to-online reinforcement learning
L4DC 2024
Resilient Constrained Reinforcement Learning
AISTATS 2024
ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search
NeurIPS 2024
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 Robustness Assessment: Adversarial Attacks on Learning-based Quadrupedal Locomotion Controllers
RSS 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