What's Changed
Major Update
- feat(rollout): enable transparent distributed rollout with shared-memory Experiences, avoiding controller memory bottlenecks and improving scalability for large and multimodal rollouts by @hijkzzz in #22
Rollout Reliability
- fix rollout correctness after context compaction and chat-history rewrites by @fus3r in #16 and #20
- improve distributed rollout reliability with persistent warm-resume buffers and safer Ray resource allocation by @hijkzzz in bce1cc5 and c34d88f
Training and Performance
- fix evaluation sample limits and MoE auxiliary-loss scaling with context parallelism by @hijkzzz in e56cbf9 and 0ae27eb
- add token-weighted advantage monitoring by @k21993 in #23
- improve vLLM GPU placement and rollout-engine defaults for Omni3-30B and Qwen3-4B by @hijkzzz in e3d84a3 and 8ef1f9a
Packaging
- add PyPI publication for
molt-rl, update AutoModel dependencies, and adopt Trusted Publishing by @hijkzzz in 48136c6, f9226e4, and 736bc61
Full Changelog: v0.1.2...v0.1.3
Contributors
k21993, hijkzzz, and fus3r