Sahir

Towered Actor Critic For Handling Multiple Action Types In Reinforcement Learning For Drug Discovery

Reinforcement learning (RL) has made significant progress in both abstract and real-world domains, but the majority of state-of-the-art algorithms deal only with monotonic actions. However, some applications require agents to reason over different types of actions. Our application simulates reaction…