agentscope-ai / agentscope-ai/Trinity-RFT

[roadmap] Trinity-RFT development

Abierto
#51 0 comentarios 0 reacciones 0 asignados Ver en GitHub
Lenguaje dominante
Python
Estrellas
701
Forks
79
Merge medio
8 h 7 min
PR fusionados (30 d)
1

Descripción

- [x] Support generic multi-step RL scenarios (infra & algorithm)
- [ ] Further optimize utilization of computational resources
- [ ] Support automatic load balancing
- [x] Improve robustness of `WorkflowRunner` --> Upgraded to `Scheduler`
- [x] Support training with Megatron-LM
- [x] Implement more algorithms for off-policy / asynchronous RL
- [x] Implement more advanced sampling strategies for task / experience buffer
- [x] Further integrate RL process with advanced data processing functionalities
- [ ] Continue refining Trinity-Studio

Guía de contribución

Abrir la guía de contribución

Evaluación

Este issue todavía no se ha evaluado.

Recibe los nuevos issues en tu correo

Un resumen breve de issues de GitHub para principiantes.