Robust Model-free Reinforcement Learning with Multi-objective Bayesian Optimization
ICRA, pp. 10702-10708, 2019.
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
PPT (Upload PPT)