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Our library for RL environments + evals
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Latest capture 2026-07-15 03:11
5 captures since 2026-05-25
Stars from baseline +223
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Scanned 2026-07-15 03:11
pyproject.toml
python ecosystem,
69 dependencies
uv.lock
python ecosystem,
0 dependencies
environments/alphabet_sort/pyproject.toml
python ecosystem,
2 dependencies
environments/alphabet_sort_v1/pyproject.toml
python ecosystem,
3 dependencies
environments/browser_cua_example/pyproject.toml
python ecosystem,
2 dependencies
environments/browser_dom_example/pyproject.toml
python ecosystem,
2 dependencies
environments/code_golf_v1/pyproject.toml
python ecosystem,
2 dependencies
environments/color_codeword_v1/pyproject.toml
python ecosystem,
3 dependencies
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AI agent config detected
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3 more config paths detected.
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Agentic RL Training at Scale
Evaluate and improve models and agents using environments
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Simple RL training for reasoning
No description.
Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends
