most citedReinforcement Learning for Robotics and Control with Active Uncertainty Reduction

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cs.LG2019

Proximal Reliability Optimization for Reinforcement Learning

Narendra Patwardhan, Zequn Wang

Despite the numerous advances, reinforcement learning remains away from widespread acceptance for autonomous controller design as compared to classical methods due to lack of abili…

cs.LG2019★ 1 cited

Reinforcement Learning for Robotics and Control with Active Uncertainty Reduction

Narendra Patwardhan, Zequn Wang

Model-free reinforcement learning based methods such as Proximal Policy Optimization, or Q-learning typically require thousands of interactions with the environment to approximate…