Reinforcement Learning

Coprocessor Actor Critic: A Model-Based Reinforcement Learning Approach For Adaptive Brain Stimulation ICML 2024 Corruption-Robust Offline Two-Player Zero-Sum Markov Games AISTATS 2024 Countering Reward Over-Optimization in LLM with Demonstration-Guided Reinforcement Learning ACL 2024 CoVO-MPC: Theoretical analysis of sampling-based MPC and optimal covariance design L4DC 2024 Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning ICML 2024 CraterGrader: Autonomous Robotic Terrain Manipulation for Lunar Site Preparation and Earthmoving RSS 2024 Critic-Guided Decision Transformer for Offline Reinforcement Learning AAAI 2024 Cross-Domain Policy Adaptation by Capturing Representation Mismatch ICML 2024 CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity ICLR 2024 CryoRL: Reinforcement Learning Enables Efficient Cryo-EM Data Collection WACV 2024 CrystalBox: Future-Based Explanations for Input-Driven Deep RL Systems AAAI 2024 CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning CoRL 2024 CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning AAAI 2024 CyberDemo: Augmenting Simulated Human Demonstration for Real-World Dexterous Manipulation CVPR 2024 Data-driven strategy synthesis for stochastic systems with unknown nonlinear disturbances L4DC 2024 Data-efficient, explainable and safe box manipulation: Illustrating the advantages of physical priors in model-predictive control L4DC 2024 Data-Efficient Policy Evaluation Through Behavior Policy Search JMLR 2024 Data Poisoning to Fake a Nash Equilibria for Markov Games AAAI 2024 DC4L: Distribution shift recovery via data-driven control for deep learning models L4DC 2024 Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics ICML 2024 Decentralized Monte Carlo Tree Search for Partially Observable Multi-Agent Pathfinding AAAI 2024 Decentralized Natural Policy Gradient with Variance Reduction for Collaborative Multi-Agent Reinforcement Learning JMLR 2024 Deciphering Digital Detectives: Understanding LLM Behaviors and Capabilities in Multi-Agent Mystery Games ACL 2024 Decision ConvFormer: Local Filtering in MetaFormer is Sufficient for Decision Making ICLR 2024 Decision-Focused Model-based Reinforcement Learning for Reward Transfer MLHC 2024