Reinforcement Learning

Interpreting Emergent Planning in Model-Free Reinforcement Learning ICLR 2025 IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning ICLR 2025 Inverse Reinforcement Learning Meets Large Language Model Alignment ACL 2025 InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma ICLR 2025 Langevin Soft Actor-Critic: Efficient Exploration through Uncertainty-Driven Critic Learning ICLR 2025 Learning in Herding Mean Field Games: Single-Loop Algorithm with Finite-Time Convergence Analysis AISTATS 2025 Learning Splitting Heuristics in Divide-and-Conquer SAT Solvers with Reinforcement Learning ICLR 2025 Learning Task Belief Similarity with Latent Dynamics for Meta-Reinforcement Learning ICLR 2025 Learning to Negotiate via Voluntary Commitment AISTATS 2025 Learning to Stabilize Unknown LTI Systems on a Single Trajectory under Stochastic Noise UAI 2025 Learning to Steer Markovian Agents under Model Uncertainty ICLR 2025 Logic-Q: Improving Deep Reinforcement Learning-based Quantitative Trading via Program Sketch-based Tuning AAAI 2025 Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets ICLR 2025 Looking into User’s Long-term Interests through the Lens of Conservative Evidential Learning ICLR 2025 Mapping Smarter, Not Harder: A Test-Time Reinforcement Learning Agent That Improve Without Labels or Model Updates EMNLP 2025 Marginal Benefit Driven RL Teacher for Unsupervised Environment Design AAAI 2025 ModelDiff: Symbolic Dynamic Programming for Model-Aware Policy Transfer in Deep Q-Learning AAAI 2025 MOHITO: Multi-Agent Reinforcement Learning using Hypergraphs for Task-Open Systems UAI 2025 Multi-Agent Credit Assignment with Pretrained Language Models AISTATS 2025 Multi Agent Reinforcement Learning for Sequential Satellite Assignment Problems AAAI 2025 Multi-Constraint Safe Reinforcement Learning via Closed-form Solution for Log-Sum-Exp Approximation of Control Barrier Functions L4DC 2025 Multi-fingered Hand Grasps with Visuo-Tactile Fusion via Multi-Agent Deep Reinforcement Learning AAAI 2025 Mutual-Taught for Co-adapting Policy and Reward Models ACL 2025 NaviFormer: A Spatio-Temporal Context-Aware Transformer for Object Navigation AAAI 2025 Neural Motion Simulator Pushing the Limit of World Models in Reinforcement Learning CVPR 2025