model-based reinforcement learning

Leveraging Separated World Model for Exploration in Visually Distracted Environments NeurIPS 2024 Locality Sensitive Sparse Encoding for Learning World Models Online ICLR 2024 Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement Learning NeurIPS 2024 MAMBA: an Effective World Model Approach for Meta-Reinforcement Learning ICLR 2024 Mastering Memory Tasks with World Models ICLR 2024 Maximum Entropy Model Correction in Reinforcement Learning ICLR 2024 MICRO: Model-Based Offline Reinforcement Learning with a Conservative Bellman Operator IJCAI 2024 Model-based Diffusion for Trajectory Optimization NeurIPS 2024 Model-based Policy Optimization under Approximate Bayesian Inference AISTATS 2024 Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces AAAI 2024 OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning AAAI 2024 On Representation Complexity of Model-based and Model-free Reinforcement Learning ICLR 2024 Optimistic Model Rollouts for Pessimistic Offline Policy Optimization AAAI 2024 Parallelizing Model-based Reinforcement Learning Over the Sequence Length NeurIPS 2024 Policy-shaped prediction: avoiding distractions in model-based reinforcement learning NeurIPS 2024 ReCoRe: Regularized Contrastive Representation Learning of World Model CVPR 2024 Rethinking Discount Regularization: New Interpretations, Unintended Consequences, and Solutions for Regularization in Reinforcement Learning JMLR 2024 Rethinking Model-based, Policy-based, and Value-based Reinforcement Learning via the Lens of Representation Complexity NeurIPS 2024 Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning ICLR 2024 Reward-Respecting Subtasks for Model-Based Reinforcement Learning (Abstract Reprint) AAAI 2024 Robust Model Based Reinforcement Learning Using L_1 Adaptive Control ICLR 2024 Simplifying Latent Dynamics with Softly State-Invariant World Models NeurIPS 2024 SPO: Sequential Monte Carlo Policy Optimisation NeurIPS 2024 TD-MPC2: Scalable, Robust World Models for Continuous Control ICLR 2024 TEAMSTER: Model-Based Reinforcement Learning for Ad Hoc Teamwork (Abstract Reprint) AAAI 2024