Internship: Reinforcement Learning
MERL is seeking a highly skilled and motivated intern to work on path planning of robotic systems in complex environments. The ideal candidate should have solid backgrounds in path planning, reinforcement learning, and computer vision. Demonstrated capability in coding algorithms and publishing results in leading conference and journals is a necessity. Senior Ph.D. students in learning, control, computer science, or related areas are encouraged to apply. Start date for this internship is flexible, and the expected duration is about 3 months.
Mitsubishi Electric Research Laboratories, Inc. is an Equal Opportunity Employer. Please see our website http://www.merl.com for information relating to our research, and http://www.merl.com/publications/ to explore our publications.
Research Area: Multimedia
Contact: Dong Tian
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