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Model-Based RL

291 papers

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Papers

Scaling Laws for Pre-training Agents and World Models ICML 2025 Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining ICLR 2025 SENSEI: Semantic Exploration Guided by Foundation Models to Learn Versatile World Models ICML 2025 Sleeping Reinforcement Learning ICML 2025 SOLD: Slot Object-Centric Latent Dynamics Models for Relational Manipulation Learning from Pixels ICML 2025 Span-Agnostic Optimal Sample Complexity and Oracle Inequalities for Average-Reward RL COLT 2025 Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation ICLR 2025 Stealing That Free Lunch: Exposing the Limits of Dyna-Style Reinforcement Learning ICML 2025 Temporal Difference Flows ICML 2025 Temporal Distance-aware Transition Augmentation for Offline Model-based Reinforcement Learning ICML 2025 The Plug-in Approach for Average-Reward and Discounted MDPs: Optimal Sample Complexity Analysis ALT 2025 Time-Aware World Model for Adaptive Prediction and Control ICML 2025 Towards Cost Sensitive Decision Making AISTATS 2025 Towards Empowerment Gain through Causal Structure Learning in Model-Based Reinforcement Learning ICLR 2025 Trajectory World Models for Heterogeneous Environments ICML 2025 Transfer Q-Learning with Composite MDP Structures ICML 2025 Video-Enhanced Offline Reinforcement Learning: A Model-Based Approach ICML 2025 WoMAP: World Models For Embodied Open-Vocabulary Object Localization CoRL 2025 AD3: Implicit Action is the Key for World Models to Distinguish the Diverse Visual Distractors ICML 2024 Adaptive Horizon Actor-Critic for Policy Learning in Contact-Rich Differentiable Simulation ICML 2024 A Distributional Analogue to the Successor Representation ICML 2024 ASID: Active Exploration for System Identification in Robotic Manipulation ICLR 2024 Bayesian Exploration Networks ICML 2024 Bring Your Own (Non-Robust) Algorithm to Solve Robust MDPs by Estimating The Worst Kernel ICML 2024 Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning ICLR 2024