Reinforcement Learning

Reinforcement Learning with Segment Feedback ICML 2025 Relational Neurosymbolic Markov Models AAAI 2025 Relational Object-Centric Actor-Critic CLeaR 2025 Reliable Active Apprenticeship Learning ALT 2025 REM: A Scalable Reinforced Multi-Expert Framework for Multiplex Influence Maximization AAAI 2025 Removing Prompt-template Bias in Reinforcement Learning from Human Feedback ACL 2025 Representation-driven Option Discovery in Reinforcement Learning AAAI 2025 Residual-MPPI: Online Policy Customization for Continuous Control ICLR 2025 Residual Neural Terminal Constraint for MPC-based Collision Avoidance in Dynamic Environments CoRL 2025 Resolving Conflicting Constraints in Multi-Agent Reinforcement Learning with Layered Safety RSS 2025 Return Capping: Sample Efficient CVaR Policy Gradient Optimisation ICML 2025 ReviewRL: Towards Automated Scientific Review with RL EMNLP 2025 Revisiting a Design Choice in Gradient Temporal Difference Learning ICLR 2025 Revisiting Cooperative Off-Policy Multi-Agent Reinforcement Learning ICML 2025 Revisiting Fairness in Multitask Learning: A Performance-Driven Approach for Variance Reduction CVPR 2025 Reward Adaptation via Q-Manipulation: Provably Beneficial Reward Function Transfer in Reinforcement Learning IJCAI 2025 Reward Dimension Reduction for Scalable Multi-Objective Reinforcement Learning ICLR 2025 Reward-Directed Score-Based Diffusion Models via q-Learning JMLR 2025 Reward-free World Models for Online Imitation Learning ICML 2025 Reward Generalization in RLHF: A Topological Perspective ACL 2025 Reward-Guided Prompt Evolving in Reinforcement Learning for LLMs ICML 2025 Rewarding Explainability in Drug Repurposing with Knowledge Graphs IJCAI 2025 Rewarding the Unlikely: Lifting GRPO Beyond Distribution Sharpening EMNLP 2025 Reward Mixology: Crafting Hybrid Signals for Reinforcement Learning Driven In-Context Learning EMNLP 2025 Reward Models in Deep Reinforcement Learning: A Survey IJCAI 2025