Robust Model-free Reinforcement Learning with Multi-objective Bayesian Optimization

Trimpe Sebastian
Trimpe Sebastian

ICRA, pp. 10702-10708, 2019.

EI
Other Links: arxiv.org|dblp.uni-trier.de|academic.microsoft.com

Abstract:

In reinforcement learning (RL), an autonomous agent learns to perform complex tasks by maximizing an exogenous reward signal while interacting with its environment. In real-world applications, test conditions may differ substantially from the training scenario and, therefore, focusing on pure reward maximization during training may lead...More

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