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cs.LG2015★ 3 cited
Model-based Reinforcement Learning with Parametrized Physical Models and Optimism-Driven Exploration
Christopher Xie, Sachin Patil, Teodor Moldovan +2
In this paper, we present a robotic model-based reinforcement learning method that combines ideas from model identification and model predictive control. We use a feature-based rep…
cs.LG2012★ 60 cited
Safe Exploration in Markov Decision Processes
Teodor Mihai Moldovan, Pieter Abbeel
In environments with uncertain dynamics exploration is necessary to learn how to perform well. Existing reinforcement learning algorithms provide strong exploration guarantees, but…