Parth Chadha

Domain Knowledge Integration By Gradient Matching For Sample-Efficient Reinforcement Learning

2020 · arXiv (Cornell University)

Model-free deep reinforcement learning (RL) agents can learn an effective policy directly from repeated interactions with a black-box environment. However in practice, the algorithms often require large amounts of training experience to learn and generalize …