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

ICRA, no. 1 (2020): 10702-10708

Cited: 10|Views27
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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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