model-based rl

Neural Motion Simulator Pushing the Limit of World Models in Reinforcement Learning CVPR 2025 SENSEI: Semantic Exploration Guided by Foundation Models to Learn Versatile World Models ICML 2025 SOLD: Slot Object-Centric Latent Dynamics Models for Relational Manipulation Learning from Pixels ICML 2025 Diffusion for World Modeling: Visual Details Matter in Atari NeurIPS 2024 Don’t Be Pessimistic Too Early: Look K Steps Ahead! AISTATS 2024 EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data ICML 2024 Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown Transition AISTATS 2024 When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL NeurIPS 2024 Exploration in Reward Machines with Low Regret AISTATS 2023 Low Emission Building Control with Zero-Shot Reinforcement Learning AAAI 2023 Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration NeurIPS 2023 Posterior Sampling for Deep Reinforcement Learning ICML 2023 Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination NeurIPS 2022 Exploration via Planning for Information about the Optimal Trajectory NeurIPS 2022 Operator Splitting Value Iteration NeurIPS 2022 Offline Reinforcement Learning with Reverse Model-based Imagination NeurIPS 2021 Combining Q-Learning and Search with Amortized Value Estimates ICLR 2020 How to Learn a Useful Critic? Model-based Action-Gradient-Estimator Policy Optimization NeurIPS 2020 Keypoints into the Future: Self-Supervised Correspondence in Model-Based Reinforcement Learning CoRL 2020 Model-based reinforcement learning for biological sequence design ICLR 2020 MOReL: Model-Based Offline Reinforcement Learning NeurIPS 2020 Experience-Embedded Visual Foresight CoRL 2019 When to use parametric models in reinforcement learning? NeurIPS 2019 Imagination-Augmented Agents for Deep Reinforcement Learning NeurIPS 2017 Sample Efficient Reinforcement Learning with Gaussian Processes ICML 2014