15 citations · 18 across the 2 of their papers we have counts for
2 papers
cs.LG2016★ 3 cited
Reset-Free Guided Policy Search: Efficient Deep Reinforcement Learning with Stochastic Initial States
William Montgomery, Anurag Ajay, Chelsea Finn +2
Autonomous learning of robotic skills can allow general-purpose robots to learn wide behavioral repertoires without requiring extensive manual engineering. However, robotic skill l…
cs.LG2016★ 15 cited
Guided Policy Search as Approximate Mirror Descent
William Montgomery, Sergey Levine
Guided policy search algorithms can be used to optimize complex nonlinear policies, such as deep neural networks, without directly computing policy gradients in the high-dimensiona…