Search Results for author: Minjian Xin

Found 2 papers, 0 papers with code

Flexible and Efficient Long-Range Planning Through Curious Exploration

no code implementations ICML 2020 Aidan Curtis, Minjian Xin, Dilip Arumugam, Kevin Feigelis, Daniel Yamins

In contrast, deep reinforcement learning (DRL) methods use flexible neural-network-based function approximators to discover policies that generalize naturally to unseen circumstances.

Imitation Learning Model-based Reinforcement Learning +3

Cannot find the paper you are looking for? You can Submit a new open access paper.