Gen-Verse/OpenClaw-RL
OpenClaw-RL: Train any agent simply by talking
Repository profile
slime is an LLM post-training framework for RL Scaling.
Repository updates
Get generated THUDM/slime development summaries by email, or follow the weekly and monthly RSS feeds.
Sign in to subscribe by email. RSS feeds are public.
Sign in to subscribeTracked growth, recent movement, and commit velocity from stored repository snapshots.
Latest capture 2026-07-16 03:06
5 captures since 2026-05-25
Stars from baseline +1711
All tracked data
Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-07-16 03:06
pyproject.toml
python ecosystem,
3 dependencies
requirements.txt
python ecosystem,
26 dependencies
setup.py
python ecosystem,
0 dependencies
docs/requirements.txt
python ecosystem,
20 dependencies
examples/retool/requirements.txt
python ecosystem,
3 dependencies
slime/backends/megatron_utils/kernels/int4_qat/setup.py
python ecosystem,
0 dependencies
Searchable topics, generated tags, and stack labels that explain where this repository fits.
Agent instructions and tool configuration paths found in the repository tree.
AI agent config detected
Key config paths
Nearest indexed repositories by embedding similarity.
OpenClaw-RL: Train any agent simply by talking
Democratizing Reinforcement Learning for LLMs
Agentic RL Training at Scale
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
SGLang is a high-performance serving framework for large language models and multimodal models.
Reinforcement Learning in PyTorch