Methods
8,258 papers (12 classified directly here)
Subtopics · a paper can sit in several, so these overlap
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)
A Physics-Informed Machine Learning Framework for Safe and Optimal Control of Autonomous Systems
ICML 2025
APIRL: Deep Reinforcement Learning for REST API Fuzzing
AAAI 2025
A Policy-Gradient Approach to Solving Imperfect-Information Games with Best-Iterate Convergence
ICLR 2025
A Pontryagin Perspective on Reinforcement Learning
L4DC 2025
Approximated Behavioral Metric-based State Projection for Federated Reinforcement Learning
IJCAI 2025
Approximated Variational Bayesian Inverse Reinforcement Learning for Large Language Model Alignment
AAAI 2025
Approximate Equivariance in Reinforcement Learning
AISTATS 2025
Approximate Global Convergence of Independent Learning in Multi-Agent Systems
AISTATS 2025
Approximate State Abstraction for Markov Games
AAAI 2025
A Primal-dual Perspective for Distributed TD-learning
IJCAI 2025
A Probabilistic Measure of Multi-Robot Connectivity and Ergodic Optimal Control
RSS 2025
ARCH: Hierarchical Hybrid Learning for Long-Horizon Contact-Rich Robotic Assembly
CoRL 2025
A Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy
EMNLP 2025
A Reduction Framework for Distributionally Robust Reinforcement Learning under Average Reward
ICML 2025
A Reductions Approach to Risk-Sensitive Reinforcement Learning with Optimized Certainty Equivalents
ICML 2025
Are Expressive Models Truly Necessary for Offline RL?
AAAI 2025
A Reinforcement Learning Framework for Cross-Lingual Stance Detection Using Chain-of-Thought Alignment
ACL 2025
ARS: Adaptive Reward Scaling for Multi-Task Reinforcement Learning
ICML 2025
A Safe Bayesian Learning Algorithm for Constrained MDPs with Bounded Constraint Violation
AISTATS 2025
A Safe Exploration Approach to Constrained Markov Decision Processes
AISTATS 2025
A Sharper Global Convergence Analysis for Average Reward Reinforcement Learning via an Actor-Critic Approach
ICML 2025
A Single Goal is All You Need: Skills and Exploration Emerge from Contrastive RL without Rewards, Demonstrations, or Subgoals
ICLR 2025
ASP-Driven Emergency Planning for Norm Violations in Reinforcement Learning
AAAI 2025
Assembloid Agency: Unreal Engine API for brain-on-a-chip platforms
NeurIPS 2025
Assess and Prompt: A Generative RL Framework for Improving Engagement in Online Mental Health Communities
EMNLP 2025