Learning of Long-Horizon Sparse-Reward Robotic Manipulator Tasks with Base Controllers

no code implementations • 24 Nov 2020 • Guangming Wang, Minjian Xin, Wenhua Wu, Zhe Liu, Hesheng Wang

Deep Reinforcement Learning (DRL) enables robots to perform some intelligent tasks end-to-end.

Robot Manipulation

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 +5