Showing 2 projects tagged Reinforcement Learning.
A cooperative multi-agent framework that uses a frozen LLM as a training-time macro-planner, then distils the guidance into the policy so the LLM can be removed entirely at deployment.
A mixture-of-experts agent for the LevDoom Seek and Slay benchmark — five level-specialised DQN experts routed by a learned scene classifier, compressed to fit a deployment size budget.