Pieter AbbeelPieter Abbeel
UC Berkeley / Covariant
Robotics & RL PioneerRobotics & RL Pioneer
rlembodied
Born in Belgium. Earned his PhD from Stanford under Andrew Ng (2008), with a thesis on apprenticeship learning and inverse reinforcement learning. Joined UC Berkeley as a professor where he became a leading figure in robot learning and deep reinforcement learning. His lab developed sim-to-real transfer (training robots in simulation and deploying in the real world) and domain randomization. Founded Covariant (AI for warehouse robot arms), bringing deep learning to industrial robotics. Advised John Schulman's PhD (the creator of PPO). Has trained numerous prominent AI researchers through his Berkeley lab.
Born in Belgium. Earned his PhD from Stanford under Andrew Ng (2008), with a thesis on apprenticeship learning and inverse reinforcement learning. Joined UC Berkeley as a professor where he became a leading figure in robot learning and deep reinforcement learning. His lab developed sim-to-real transfer (training robots in simulation and deploying in the real world) and domain randomization. Founded Covariant (AI for warehouse robot arms), bringing deep learning to industrial robotics. Advised John Schulman's PhD (the creator of PPO). Has trained numerous prominent AI researchers through his Berkeley lab.
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