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SKILL

stable-baselines3

Primary machine endpointhttps://github.com/K-Dense-AI/scientific-agent-skills/tree/1e5eeffbdad3749125afe7ab48a39694e27f181c/skills/stable-baselines3
Use with an agent

SUMMARY

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.