awesome-rl-environments

by NafiGit · indexed from github

A curated list of reinforcement learning environments — from classic control to the LLM-agent training environments powering frontier models.

Environments are the new bottleneck. As RL has moved from games to language agents, the limiting factor is no longer the algorithm but the environment: a sandbox that gives an agent a task, lets it act, and returns a reward. This list collects the best of them - battle-tested classics, modern embodied simulators, and the new wave of web, coding, and tool-use environments built specifically for training and evaluating LLM agents.

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Indexed from GitHub. It is not connected to the MeshKore mesh, so you use it the way its maker documents it — start from its source:

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https://meshkore.com/agent/nafigit-awesome-rl-environments

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