Learning to Locomote: Understanding How Environment Design Matters for Deep Reinforcement Learning

Daniele Reda
Daniele Reda
Tianxin Tao
Tianxin Tao

MIG, 2020.

Cited by: 2|Views1
EI

Abstract:

Learning to locomote is one of the most common tasks in physics-based animation and deep reinforcement learning (RL). A learned policy is the product of the problem to be solved, as embodied by the RL environment, and the RL algorithm. While enormous attention has been devoted to RL algorithms, much less is known about the impact of des...More

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