Chunk-wise Model-based Policy Optimization
cs.RO, cs.LG
Submitted: 2026-10-10
Updated: 2026-10-10
Comments: Accepted to CoRL 2026 Spotlight
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- Mastering Atari with Discrete World Models
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- OpenAI o1 System Card
- Proximal Policy Optimization Algorithms
- Mastering Diverse Domains through World Models
- Dream to Control: Learning Behaviors by Latent Imagination
- Temporal Difference Learning for Model Predictive Control
- Bootstrapped Model Predictive Control
- Model-Augmented Actor-Critic: Backpropagating through Paths
- First Order Model-Based RL through Decoupled Backpropagation
- Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware
- $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
- Decoupled Q-Chunking
- Scalable Offline Model-Based RL with Action Chunks
- HumanoidBench: Simulated Humanoid Benchmark for Whole-Body Locomotion and Manipulation
- Model-Ensemble Trust-Region Policy Optimization
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
- TD-M(PC)$^2$: Improving Temporal Difference MPC Through Policy Constraint
- Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning
- Adaptive Action Chunking at Inference-time for Vision-Language-Action Models
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