Learning to Reinforcement Learn by Imitation

no code implementations • ICLR 2019 • Rosen Kralev, Russell Mendonca, Alvin Zhang, Tianhe Yu, Abhishek Gupta, Pieter Abbeel, Sergey Levine, Chelsea Finn

Meta-reinforcement learning aims to learn fast reinforcement learning (RL) procedures that can be applied to new tasks or environments.

Meta-Learning Meta Reinforcement Learning +2

Guided Meta-Policy Search

no code implementations • NeurIPS 2019 • Russell Mendonca, Abhishek Gupta, Rosen Kralev, Pieter Abbeel, Sergey Levine, Chelsea Finn

Reinforcement learning (RL) algorithms have demonstrated promising results on complex tasks, yet often require impractical numbers of samples since they learn from scratch.

Continuous Control Imitation Learning +4