model-based-rl
CommunityMaster model-based RL with world models.
Authortachyon-beep
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a comprehensive guide to model-based reinforcement learning, bridging world-model learning, planning, and policy optimization to improve sample efficiency and generalization in RL agents.
Core Features & Use Cases
- World models and dynamics learning (Deterministic and stochastic)
- Planning with learned models (MPC, shooting, CEM)
- Algorithms in focus: Dyna-Q, MBPO, and Dreamer
- Practical guidance on uncertainty, ensembles, and sim-to-real transfer
- Ready-to-adapt templates for research and education use
Quick Start
Use MBPO with a toy environment to bootstrap policy learning and compare imagined vs real data.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: model-based-rl Download link: https://github.com/tachyon-beep/hamlet/archive/main.zip#model-based-rl Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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