Co-occurring keywords · papers mentioning both
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