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Democratizing Reinforcement Learning for LLMs
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Latest capture 2026-07-16 03:05
5 captures since 2026-05-25
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Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-07-16 03:05
pyproject.toml
python ecosystem,
59 dependencies
rllm-model-gateway/pyproject.toml
python ecosystem,
13 dependencies
cookbooks/agent_frameworks/pyproject.toml
python ecosystem,
8 dependencies
cookbooks/deepcoder/pyproject.toml
python ecosystem,
4 dependencies
cookbooks/finqa/pyproject.toml
python ecosystem,
6 dependencies
cookbooks/frozenlake/pyproject.toml
python ecosystem,
5 dependencies
cookbooks/geo3k/pyproject.toml
python ecosystem,
3 dependencies
cookbooks/math/pyproject.toml
python ecosystem,
3 dependencies
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OpenClaw-RL: Train any agent simply by talking
slime is an LLM post-training framework for RL Scaling.
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.
Simple RL training for reasoning
