Model-Based Online Decision Making via Generative Trajectory Planning
cs.LG, cs.AI, cs.RO, cs.SY, eess.SY
Submitted: 2026-10-13
Updated: 2026-10-13
Code: https://github.com/haldunbalim/GTPlanning
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- Model-Based Diffusion Sampling for Predictive Control in Offline Decision Making
- Model Based Planning with Energy Based Models
- Mastering Diverse Domains through World Models
- TD-MPC2: Scalable, Robust World Models for Continuous Control
- Continuous control with deep reinforcement learning
- Efficient Online Reinforcement Learning for Diffusion Policy
- Learning a Diffusion Model Policy from Rewards via Q-Score Matching
- Searching for Activation Functions
- High-Dimensional Continuous Control Using Generalized Advantage Estimation
- Mirror Descent Policy Optimization
- Policy Representation via Diffusion Probability Model for Reinforcement Learning
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