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OpenClaw-RL: Train any agent simply by talking
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Latest capture 2026-07-17 04:06
45 captures since 2026-05-25
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Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-07-17 04:06
requirements.txt
python ecosystem,
285 dependencies
gui-rl/requirements.txt
python ecosystem,
41 dependencies
Megatron-LM/pyproject.toml
python ecosystem,
61 dependencies
Megatron-LM/setup.py
python ecosystem,
0 dependencies
openclaw-fireworks/requirements.txt
python ecosystem,
6 dependencies
slime/pyproject.toml
python ecosystem,
3 dependencies
slime/requirements.txt
python ecosystem,
17 dependencies
slime/setup.py
python ecosystem,
1 dependency
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Agent instructions and tool configuration paths found in the repository tree.
Nearest indexed repositories by embedding similarity.
slime is an LLM post-training framework for RL Scaling.
Democratizing Reinforcement Learning for LLMs
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Reinforcement Learning in PyTorch
Agentic RL Training at Scale
Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.6, GPT-OSS, Llama, and more!
