reinforcement-learning
CommunityTrain agents with proven RL methods.
Data & Analytics#multi-agent#training#gym#machine-learning#reinforcement-learning#rl#policy-gradient
Authorpluginagentmarketplace
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Learn optimal policies by training agents to act and adapt through environmental feedback.
Core Features & Use Cases
- Wide coverage of RL methods including Q-learning, DQN, PPO, A3C, and policy gradients.
- Supports single- and multi-agent setups across Gym-like environments for robotics, games, and control tasks.
- Real-world use cases include game AI, robotics control, and automated decision-making systems.
Quick Start
Instantiate an environment, select an RL method, and run training to learn a policy.
Dependency Matrix
Required Modules
yaml
Components
scriptsreferencesassets
💻 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: reinforcement-learning Download link: https://github.com/pluginagentmarketplace/custom-plugin-ai-data-scientist/archive/main.zip#reinforcement-learning Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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