reinforcement learning library

A reinforcement learning library is a software toolkit that provides algorithms, environments, and utilities to design, train, evaluate, and deploy agents that learn optimal behaviors through trial-and-error interactions with their environment.

Aliases (3)

• multi-agent reinforcement learning framework ×1
• reinforcement learning environment interface ×1
• reinforcement learning framework ×1

Instances (6)

• OpenAI Gym
• Env API ("reinforcement learning environment interface")
• RLlib
• PettingZoo ("multi-agent reinforcement learning framework")
• TF-Agents ("reinforcement learning framework")
• Stable Baselines