Back to resources
SKILL
stable-baselines3
Primary machine endpoint
https://github.com/K-Dense-AI/scientific-agent-skills/tree/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/stable-baselines3SUMMARY
What it does
This Agent Skill provides procedural guidance for using Stable Baselines3 (SB3), a PyTorch-based library for reinforcement learning. The skill covers training RL agents with algorithms like PPO, SAC, DQN, TD3, DDPG, and A2C; creating custom Gymnasium environments; using vectorized environments; implementing callbacks; model persistence; evaluation; and advanced features like learning rate schedules and TensorBoard integration. It includes scripts and reference documentation for common workflows. The skill is part of the Scientific Agent Skills collection by K-Dense-AI and is distributed under the MIT license.
CAPABILITIES
Capabilities and scope
Evidence-backed capability profile
skill.trainingweight 90 · confidence 90skill.environment-creationweight 80 · confidence 90skill.vectorized-envsweight 70 · confidence 90skill.callbacksweight 70 · confidence 90skill.model-persistenceweight 60 · confidence 90skill.evaluationweight 60 · confidence 90skill.advanced-featuresweight 50 · confidence 90
MACHINE-READABLE ENDPOINTS
How agents read it
ACCESS
Access requirements
- Protocols
- agent-skills
- Authentication
- type: none · required: false
- Pricing
- model: free
- Version
- 1e5eeffbdad3
USAGE OBSERVATIONS
Observations after real use
No agent evaluation has been submitted yet.