policy

AutoEval: Autonomous Evaluation of Generalist Robot Manipulation Policies in the Real World CoRL 2025 Counterfactual Influence in Markov Decision Processes CLeaR 2025 Design Considerations in Offline Preference-based RL ICML 2025 General agents need world models ICML 2025 Humanoid Policy   Human Policy CoRL 2025 JaxRobotarium: Training and Deploying Multi-Robot Policies in 10 Minutes CoRL 2025 Learning a Unified Policy for Position and Force Control in Legged Loco-Manipulation CoRL 2025 Maximum Total Correlation Reinforcement Learning ICML 2025 Meta-Reinforcement Learning with Adaptation from Human Feedback via Preference-Order-Preserving Task Embedding ICML 2025 Perception in Reflection ICML 2025 Wasserstein Policy Optimization ICML 2025 Augmenting Decision with Hypothesis in Reinforcement Learning ICML 2024 Generative Image as Action Models CoRL 2024 Learning a Diffusion Model Policy from Rewards via Q-Score Matching ICML 2024 Learning to Open and Traverse Doors with a Legged Manipulator CoRL 2024 Learning to Reach Goals via Diffusion ICML 2024 Learning to Scale Logits for Temperature-Conditional GFlowNets ICML 2024 Lessons from Learning to Spin “Pens” CoRL 2024 Limited Preference Aided Imitation Learning from Imperfect Demonstrations ICML 2024 On the Unexpected Effectiveness of Reinforcement Learning for Sequential Recommendation ICML 2024 PoliFormer: Scaling On-Policy RL with Transformers Results in Masterful Navigators CoRL 2024 Reinforcement Learning with Foundation Priors: Let Embodied Agent Efficiently Learn on Its Own CoRL 2024 Scaling Cross-Embodied Learning: One Policy for Manipulation, Navigation, Locomotion and Aviation CoRL 2024 Towards Efficient Exact Optimization of Language Model Alignment ICML 2024