Hierarchical Reinforcement Learning at Mitsubishi Electric Research Labs - Cambridge, Massachusetts, United States

MERL is looking for a highly motivated individual to work on hierarchical reinforcement learning for robotic applications. The research will develop novel algorithms for hierarchical reinforcement learning and evaluate them on challenging long horizon robotic problems. The ideal candidate must have experience in either one or multiple of the following topics: (Deep) Reinforcement learning, Hierarchical RL, policy optimization and Markov Decision Processes (MDPs). Senior PhD students in machine learning and engineering with a focus on Reinforcement Learning are encouraged to apply. Prior experience working with physics engines like Mujoco, Bullet, etc. is required.