Official repository for "RLVR-World: Training World Models with Reinforcement Learning" (NeurIPS 2025), https://arxiv.org/abs/2505.13934
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Updated
Oct 28, 2025 - Python
Official repository for "RLVR-World: Training World Models with Reinforcement Learning" (NeurIPS 2025), https://arxiv.org/abs/2505.13934
PreAct: Computer-Using Agents that Get Faster on Repeated Tasks (arXiv:2606.17929). Compile successful runs into verified state-machine programs and replay them 8.5–13× faster with no per-step LLM calls.
Self-hosted multi-model agent with JitRL memory, auditable council runs, SSH operations, live server screen, and macOS/Windows desktop client
Evaluation harness for web fetching, browser trajectory replay and autonomous agents. Adapters, saved evidence, scoring and inspectable reports.
FastAPI-based browser operation agent UI/API with browser_use, CDP sessions, SSE streaming, and WebArena automation.
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