Reinforcement Learning

Neuroplastic Expansion in Deep Reinforcement Learning ICLR 2025 Noise-Resilient Symbolic Regression with Dynamic Gating Reinforcement Learning AAAI 2025 Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning ICLR 2025 Offline Multi-task Transfer RL with Representational Penalization AISTATS 2025 Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood ICLR 2025 OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code ICLR 2025 On Constant Regret for Low-Rank MDPs UAI 2025 Online Reinforcement Learning in Non-Stationary Context-Driven Environments ICLR 2025 On Minimizing Adversarial Counterfactual Error in Adversarial Reinforcement Learning ICLR 2025 On-Policy Self-Alignment with Fine-grained Knowledge Feedback for Hallucination Mitigation ACL 2025 On Rollouts in Model-Based Reinforcement Learning ICLR 2025 On Shallow Planning Under Partial Observability AAAI 2025 On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback ICLR 2025 Optimal Non-Asymptotic Rates of Value Iteration for Average-Reward Markov Decision Processes ICLR 2025 Optimizing CLAP Reward with LLM Feedback for Semantically Aligned and Diverse Automated Audio Captioning Interspeech 2025 OptionZero: Planning with Learned Options ICLR 2025 Order-Optimal Global Convergence for Actor-Critic with General Policy and Neural Critic Parametrization UAI 2025 ORSO: Accelerating Reward Design via Online Reward Selection and Policy Optimization ICLR 2025 Outcome-Based Semifactuals for Reinforcement Learning ACML 2025 Partial Identifiability in Inverse Reinforcement Learning for Agents with Non-Exponential Discounting AAAI 2025 Planning and Learning in Risk-Aware Restless Multi-Arm Bandits AISTATS 2025 PN-GAIL: Leveraging Non-optimal Information from Imperfect Demonstrations ICLR 2025 Policy Optimization under Imperfect Human Interactions with Agent-Gated Shared Autonomy ICLR 2025 Preference Optimization for Reasoning with Pseudo Feedback ICLR 2025 Probabilistic Shielding for Safe Reinforcement Learning AAAI 2025