3 citations · 4 across the 5 of their papers we have counts for
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cs.LG2020★ 3 cited
REPAINT: Knowledge Transfer in Deep Reinforcement Learning
Yunzhe Tao, Sahika Genc, Jonathan Chung +2
Accelerating learning processes for complex tasks by leveraging previously learned tasks has been one of the most challenging problems in reinforcement learning, especially when th…
cs.AI2020★ 1 cited
Battlesnake Challenge: A Multi-agent Reinforcement Learning Playground with Human-in-the-loop
Jonathan Chung, Anna Luo, Xavier Raffin +1
We present the Battlesnake Challenge, a framework for multi-agent reinforcement learning with Human-In-the-Loop Learning (HILL). It is developed upon Battlesnake, a multiplayer ext…