Exploring Decentralized Multi Agent Collision Avoidance With Deep Reinforcement Learning
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- Paper Link: https://ieeexplore.ieee.org/document/9387125.
- Event: Student Research Symposium at UMass Lowell Title: Discovering Emergent Behaviors Using
- This course was given by Stefano V. Albrecht and has been organised by the Artificial Intelligence Research Institute (IIIA -CSIC) ...
- This is the recorded presentation of research paper entitled "
In-Depth Information on Decentralized Multi Agent Collision Avoidance With Deep Reinforcement Learning
https://arxiv.org/abs/1609.07845. ICRA 2018 Spotlight Video Interactive Session Thu AM Pod Q.3 Authors: Long, Pinxin; Fan, Tingxiang; Liu, Wenxi; Pan, Jia; ... Theta* for geometric path planning. ORCA for path following with In this final video, the speaker discusses the difference between centralized and
Deep-Learned Collision Avoidance Policy for Distributed Multi-Agent Navigation (Full)
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