policy learning

Reward Engineering for Generating Semi-structured Explanation EACL 2024 Reward Model Learning vs. Direct Policy Optimization: A Comparative Analysis of Learning from Human Preferences ICML 2024 Risk-Conditioned Reinforcement Learning: A Generalized Approach for Adapting to Varying Risk Measures AAAI 2024 RLfOLD: Reinforcement Learning from Online Demonstrations in Urban Autonomous Driving AAAI 2024 RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback ICML 2024 RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation ICML 2024 Robot Fleet Learning via Policy Merging ICLR 2024 RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches ICLR 2024 Safe and Interpretable Estimation of Optimal Treatment Regimes AISTATS 2024 Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model ICLR 2024 Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-trained Transformers NeurIPS 2024 Self-Modifying State Modeling for Simultaneous Machine Translation ACL 2024 Sharing the Cost of Success: A Game for Evaluating and Learning Collaborative Multi-Agent Instruction Giving and Following Policies COLING 2024 Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees (Abstract Reprint) AAAI 2024 SLR: Learning Quadruped Locomotion without Privileged Information CoRL 2024 Solving Minimum-Cost Reach Avoid using Reinforcement Learning NeurIPS 2024 SUF: Stabilized Unconstrained Fine-Tuning for Offline-to-Online Reinforcement Learning AAAI 2024 SurgicAI: A Hierarchical Platform for Fine-Grained Surgical Policy Learning and Benchmarking NeurIPS 2024 TA&AT: Enhancing Task-Oriented Dialog with Turn-Level Auxiliary Tasks and Action-Tree Based Scheduled Sampling AAAI 2024 Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation ICML 2024 Taking Action Towards Graceful Interaction: The Effects of Performing Actions on Modelling Policies for Instruction Clarification Requests EACL 2024 Text-Aware Diffusion for Policy Learning NeurIPS 2024 The CoachAI Badminton Environment: Bridging the Gap between a Reinforcement Learning Environment and Real-World Badminton Games AAAI 2024 The Ladder in Chaos: Improving Policy Learning by Harnessing the Parameter Evolving Path in A Low-dimensional Space NeurIPS 2024 Towards Safe Policy Learning under Partial Identifiability: A Causal Approach AAAI 2024