Model-Based RL
291 papers
Papers per year
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13
27
20
83
102
16
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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