Tianyang Tao

PiCor: Multi-Task Deep Reinforcement Learning with Policy Correction

Multi-task deep reinforcement learning (DRL) ambitiously aims to train a general agent that masters multiple tasks simultaneously. However, varying learning speeds of different tasks compounding with negative gradients interference makes policy learning inefficient. In this work, we propose PiCor, a…