Reset-Free Guided Policy Search: Efficient Deep Reinforcement Learning with Stochastic Initial States

no code implementations • 4 Oct 2016 • William Montgomery, Anurag Ajay, Chelsea Finn, Pieter Abbeel, Sergey Levine

Autonomous learning of robotic skills can allow general-purpose robots to learn wide behavioral repertoires without requiring extensive manual engineering.

reinforcement-learning Reinforcement Learning (RL)

Guided Policy Search as Approximate Mirror Descent

1 code implementation • 15 Jul 2016 • 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-dimensional parameter space.