dynamics model

Dynamic Sparsity: Challenging Common Sparsity Assumptions for Learning World Models in Robotic Reinforcement Learning Benchmarks AAAI 2026 Revisiting TD Target Aggregation under Uncertainty in Q-Learning UAI 2026 Action Flow Matching for Lifelong Learning RSS 2025 Any-step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement Learning ICLR 2025 Imagination-Limited Q-Learning for Offline Reinforcement Learning IJCAI 2025 Meta-Learning Online Dynamics Model Adaptation in Off-Road Autonomous Driving RSS 2025 Multi-Timescale Dynamics Model Bayesian Optimization for Plasma Stabilization in Tokamaks ICML 2025 Neural Stochastic Differential Equations for Uncertainty-Aware Offline RL ICLR 2025 R3DM: Enabling Role Discovery and Diversity Through Dynamics Models in Multi-agent Reinforcement Learning ICML 2025 SUMO: Search-Based Uncertainty Estimation for Model-Based Offline Reinforcement Learning AAAI 2025 Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning AAAI 2024 CCIL: Continuity-Based Data Augmentation for Corrective Imitation Learning ICLR 2024 Cloth-Splatting: 3D Cloth State Estimation from RGB Supervision CoRL 2024 Compositional Generative Inverse Design ICLR 2024 Diversification of Adaptive Policy for Effective Offline Reinforcement Learning IJCAI 2024 DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control NeurIPS 2024 Learning to Walk from Three Minutes of Real-World Data with Semi-structured Dynamics Models CoRL 2024 MetaCARD: Meta-Reinforcement Learning with Task Uncertainty Feedback via Decoupled Context-Aware Reward and Dynamics Components AAAI 2024 Model-based Reinforcement Learning for Parameterized Action Spaces ICML 2024 OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning AAAI 2024 Policy-conditioned Environment Models are More Generalizable ICML 2024 Policy Rehearsing: Training Generalizable Policies for Reinforcement Learning ICLR 2024 Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning ICLR 2024 RoboPack: Learning Tactile-Informed Dynamics Models for Dense Packing RSS 2024 The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning NeurIPS 2024