Model-Based RL

Provable Representation with Efficient Planning for Partially Observable Reinforcement Learning ICML 2024 Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation ICML 2024 Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret ICML 2024 Provably Efficient Partially Observable Risk-sensitive Reinforcement Learning with Hindsight Observation ICML 2024 Reinforcement Learning within Tree Search for Fast Macro Placement ICML 2024 Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning ICLR 2024 Reward-Free Curricula for Training Robust World Models ICLR 2024 Rich-Observation Reinforcement Learning with Continuous Latent Dynamics ICML 2024 Robust Inverse Constrained Reinforcement Learning under Model Misspecification ICML 2024 Robust Model Based Reinforcement Learning Using L_1 Adaptive Control ICLR 2024 SafeDreamer: Safe Reinforcement Learning with World Models ICLR 2024 Sample-efficient Learning of Infinite-horizon Average-reward MDPs with General Function Approximation ICLR 2024 Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty ICML 2024 Scalable Online Exploration via Coverability ICML 2024 SELFI: Autonomous Self-Improvement with RL for Vision-Based Navigation around People CoRL 2024 SeMOPO: Learning High-quality Model and Policy from Low-quality Offline Visual Datasets ICML 2024 Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning ICML 2024 Settling the sample complexity of online reinforcement learning COLT 2024 Simple Hierarchical Planning with Diffusion ICLR 2024 Single-Trajectory Distributionally Robust Reinforcement Learning ICML 2024 TD-MPC2: Scalable, Robust World Models for Continuous Control ICLR 2024 Towards Minimax Optimality of Model-based Robust Reinforcement Learning UAI 2024 Towards Robust Model-Based Reinforcement Learning Against Adversarial Corruption ICML 2024 Tree Search-Based Policy Optimization under Stochastic Execution Delay ICLR 2024 Truly No-Regret Learning in Constrained MDPs ICML 2024