Reinforcement Learning

HYPERmotion: Learning Hybrid Behavior Planning for Autonomous Loco-manipulation CoRL 2024 Hyperparameter Optimization Can Even Be Harmful in Off-Policy Learning and How to Deal with It IJCAI 2024 Identifying Latent State-Transition Processes for Individualized Reinforcement Learning NeurIPS 2024 Identifying Policy Gradient Subspaces ICLR 2024 If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions EMNLP 2024 IMAGINATION POLICY: Using Generative Point Cloud Models for Learning Manipulation Policies CoRL 2024 Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning AAAI 2024 Imitate the Good and Avoid the Bad: An Incremental Approach to Safe Reinforcement Learning AAAI 2024 Imitating Language via Scalable Inverse Reinforcement Learning NeurIPS 2024 Imitation Bootstrapped Reinforcement Learning RSS 2024 Imitation Learning from Observation with Automatic Discount Scheduling ICLR 2024 Imitation Learning from Purified Demonstrations ICML 2024 Imitation Learning in Discounted Linear MDPs without exploration assumptions ICML 2024 IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making IJCAI 2024 Impact of Computation in Integral Reinforcement Learning for Continuous-Time Control ICLR 2024 Impact of Decentralized Learning on Player Utilities in Stackelberg Games ICML 2024 Implicit and Explicit Policy Constraints for Offline Reinforcement Learning CLeaR 2024 Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States ICML 2024 Implicit Curriculum in Procgen Made Explicit NeurIPS 2024 Implicit Graph Search for Planning on Graphs of Convex Sets RSS 2024 Importance-Weighted Offline Learning Done Right ALT 2024 Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown Transition AISTATS 2024 Improved High-Probability Bounds for the Temporal Difference Learning Algorithm via Exponential Stability COLT 2024 Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm with General Parameterization for Infinite Horizon Discounted Reward Markov Decision Processes AISTATS 2024 Improve Robustness of Reinforcement Learning against Observation Perturbations via l∞ Lipschitz Policy Networks AAAI 2024