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conftrace_

model-based reinforcement learning

521 papers

MBRL MODEL-BASED RL

Papers

FOSP: Fine-tuning Offline Safe Policy through World Models ICLR 2025 GLAM: Global-Local Variation Awareness in Mamba-based World Model AAAI 2025 GWM: Towards Scalable Gaussian World Models for Robotic Manipulation ICCV 2025 Knowledge Retention in Continual Model-Based Reinforcement Learning ICML 2025 Learning Structured World Models From and For Physical Interactions AAAI 2025 Learning to Steer Markovian Agents under Model Uncertainty ICLR 2025 Learning Transformer-based World Models with Contrastive Predictive Coding ICLR 2025 MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL ICLR 2025 MGDA: Model-based Goal Data Augmentation for Offline Goal-conditioned Weighted Supervised Learning AAAI 2025 Model-based Offline Reinforcement Learning with Lower Expectile Q-Learning ICLR 2025 Model-based RL as a Minimalist Approach to Horizon-Free and Second-Order Bounds ICLR 2025 Neural Motion Simulator Pushing the Limit of World Models in Reinforcement Learning CVPR 2025 Neural Stochastic Differential Equations for Uncertainty-Aware Offline RL ICLR 2025 Neurosymbolic World Models for Sequential Decision Making ICML 2025 On Rollouts in Model-Based Reinforcement Learning ICLR 2025 Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control ICLR 2025 PIN-WM: Learning Physics-INformed World Models for Non-Prehensile Manipulation RSS 2025 PWM: Policy Learning with Multi-Task World Models ICLR 2025 Q-function Decomposition with Intervention Semantics for Factored Action Spaces AISTATS 2025 Sample and Computationally Efficient Continuous-Time Reinforcement Learning with General Function Approximation UAI 2025 Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation ICLR 2025 Statistical Tractability of Off-policy Evaluation of History-dependent Policies in POMDPs ICLR 2025 Towards Empowerment Gain through Causal Structure Learning in Model-Based Reinforcement Learning ICLR 2025 Towards General-Purpose Model-Free Reinforcement Learning ICLR 2025 World Models with Hints of Large Language Models for Goal Achieving NAACL 2025