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Reinforcement Learning

9,982 papers (145 classified directly here)

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Papers (including subtopics)

Bridging Training and Execution via Dynamic Directed Graph-Based Communication in Cooperative Multi-Agent Systems AAAI 2025 BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning ICML 2025 BTPG: A Platform and Benchmark for Behavior Tree Planning in Everyday Service Robots IJCAI 2025 C2IQL: Constraint-Conditioned Implicit Q-learning for Safe Offline Reinforcement Learning ICML 2025 C-3PO: Compact Plug-and-Play Proxy Optimization to Achieve Human-like Retrieval-Augmented Generation ICML 2025 Cache-Efficient Posterior Sampling for Reinforcement Learning with LLM-Derived Priors Across Discrete and Continuous Domains EMNLP 2025 CADP: Towards Better Centralized Learning for Decentralized Execution in MARL IJCAI 2025 Calibrated Value-Aware Model Learning with Probabilistic Environment Models ICML 2025 CALM: Consensus-Aware Localized Merging for Multi-Task Learning ICML 2025 Can GRPO Boost Complex Multimodal Table Understanding? EMNLP 2025 Can RLHF be More Efficient with Imperfect Reward Models? A Policy Coverage Perspective ICML 2025 Capability-Aware Shared Hypernetworks for Flexible Heterogeneous Multi-Robot Coordination CoRL 2025 Capacity-Constrained Online Learning with Delays: Scheduling Frameworks and Regret Trade-offs COLT 2025 CaRL: Learning Scalable Planning Policies with Simple Rewards CoRL 2025 CarPlanner: Consistent Auto-regressive Trajectory Planning for Large-Scale Reinforcement Learning in Autonomous Driving CVPR 2025 CARP: Visuomotor Policy Learning via Coarse-to-Fine Autoregressive Prediction ICCV 2025 Catching Two Birds with One Stone: Reward Shaping with Dual Random Networks for Balancing Exploration and Exploitation ICML 2025 Categorical Semantics of Compositional Reinforcement Learning JMLR 2025 CATP-LLM: Empowering Large Language Models for Cost-Aware Tool Planning ICCV 2025 Causal Bandits without Graph Learning CLeaR 2025 Causal Information Prioritization for Efficient Reinforcement Learning ICLR 2025 CDP: Towards Robust Autoregressive Visuomotor Policy Learning via Causal Diffusion CoRL 2025 CEAES: Bidirectional Reinforcement Learning Optimization for Consistent and Explainable Essay Assessment ACL 2025 CERTAIN: Context Uncertainty-aware One-Shot Adaptation for Context-based Offline Meta Reinforcement Learning ICML 2025 Chatbot To Help Patients Understand Their Health EMNLP 2025