policy

CRISP

sahilagr123 · PyTorch

or hover any field below to flag it

Overview

Name
CRISP
Author
sahilagr123
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
Building a multi-agent RL system where two LLMs learn mathematical reasoning through peer discussion, guided by a coach model. Implemented disagreement detection, GRPO-based distributed training, and verifiable reward pipelines using PyTorch on cloud GPUs (H100s).

Spaces

Action space
other · 0-dim · 0Hz
Observation space
  • type: other

Links

HuggingFace repo
null
Paper (arXiv)
null

Compatible robots

20

Compatible environments

0

No environments list CRISP yet.

Datasets that reference this policy

0

No datasets reference CRISP yet.