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06/30/2022
Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning
We introduce DeepNash, an autonomous agent capable of learning to play t...
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12/17/2020
End-to-end Deep Object Tracking with Circular Loss Function for Rotated Bounding Box
The task object tracking is vital in numerous applications such as auton...
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12/17/2020
MAGNet: Multi-agent Graph Network for Deep Multi-agent Reinforcement Learning
Over recent years, deep reinforcement learning has shown strong successe...
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12/16/2020
Learning to Run with Potential-Based Reward Shaping and Demonstrations from Video Data
Learning to produce efficient movement behaviour for humanoid robots fro...
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02/07/2019
Artificial Intelligence for Prosthetics - challenge solutions
In the NeurIPS 2018 Artificial Intelligence for Prosthetics challenge, p...
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11/30/2018
