Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning
© 2018 IEEE. Robots that navigate among pedestrians use collision avoidance algorithms to enable safe and efficient operation. Recent works present deep reinforcement learning as a framework to model the complex interactions and cooperation. However, they are implemented using key assumptions about...
Main Authors: | Everett, Michael, Chen, Yu Fan, How, Jonathan P. |
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Other Authors: | Massachusetts Institute of Technology. Aerospace Controls Laboratory |
Format: | Article |
Language: | English |
Published: |
IEEE
2021
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Online Access: | https://hdl.handle.net/1721.1/137961 |
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