Pieter Abbeel
Berkeley College(US)Baird Institute(AU)University of California, Berkeley(US)
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Robot Manipulation and Learning, Domain Adaptation and Few-Shot Learning, Multimodal Machine Learning Applications, Human Pose and Action Recognition
Most-Cited Works
- → Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks(2017)5,758 cited
- → Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor(2018)3,481 cited
- → Trust Region Policy Optimization(2015)3,125 cited
- → Apprenticeship learning via inverse reinforcement learning(2004)2,840 cited
- → Domain randomization for transferring deep neural networks from simulation to the real world(2017)2,658 cited
- → InfoGAN: Interpretable Representation Learning by Information Maximizing\n Generative Adversarial Nets(2016)2,416 cited