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Methods

8,258 papers (12 classified directly here)

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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