policy learning

On Rollouts in Model-Based Reinforcement Learning ICLR 2025 Optimizing Decomposition for Optimal Claim Verification ACL 2025 Optimus-2: Multimodal Minecraft Agent with Goal-Observation-Action Conditioned Policy CVPR 2025 Persona Dynamics: Unveiling the Impact of Persona Traits on Agents in Text-Based Games ACL 2025 Preference-based Deep Reinforcement Learning for Historical Route Estimation IJCAI 2025 PWM: Policy Learning with Multi-Task World Models ICLR 2025 RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors AAAI 2025 RATE: Causal Explainability of Reward Models with Imperfect Counterfactuals ICML 2025 ReAlign: Structured Revision for Small Language Model Alignment EMNLP 2025 REGENT: A Retrieval-Augmented Generalist Agent That Can Act In-Context in New Environments ICLR 2025 Reinforce LLM Reasoning through Multi-Agent Reflection ICML 2025 Relational Object-Centric Actor-Critic CLeaR 2025 Robot Learning with Super-Linear Scaling RSS 2025 RoboTron-Mani: All-in-One Multimodal Large Model for Robotic Manipulation ICCV 2025 Safety Representations for Safer Policy Learning ICLR 2025 Sample and Oracle Efficient Reinforcement Learning for MDPs with Linearly-Realizable Value Functions COLT 2025 Sample-Efficient Behavior Cloning Using General Domain Knowledge IJCAI 2025 SD2Actor: Continuous State Decomposition via Diffusion Embeddings for Robotic Manipulation ICCV 2025 Search Strategy Generation for Branch and Bound Using Genetic Programming AAAI 2025 Select before Act: Spatially Decoupled Action Repetition for Continuous Control ICLR 2025 Selective Uncertainty Propagation in Offline RL AAAI 2025 Single-Loop Federated Actor-Critic across Heterogeneous Environments AAAI 2025 SRSA: Skill Retrieval and Adaptation for Robotic Assembly Tasks ICLR 2025 STRAP: Robot Sub-Trajectory Retrieval for Augmented Policy Learning ICLR 2025 Subteaming and Adaptive Formation Control for Coordinated Multi-Robot Navigation CoRL 2025