425 citations · 1.8k across the 99 of their papers we have counts for
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Mathematical Justification of Hard Negative Mining via Isometric Approximation Theorem
Albert Xu, Jhih-Yi Hsieh, Bhaskar Vundurthy +3
In deep metric learning, the Triplet Loss has emerged as a popular method to learn many computer vision and natural language processing tasks such as facial recognition, object det…
Learning Cooperative Multi-Agent Policies with Partial Reward Decoupling
Benjamin Freed, Aditya Kapoor, Ian Abraham +2
One of the preeminent obstacles to scaling multi-agent reinforcement learning to large numbers of agents is assigning credit to individual agents' actions. In this paper, we addres…
Adversary A3C for Robust Reinforcement Learning
Zhaoyuan Gu, Zhenzhong Jia, Howie Choset
Asynchronous Advantage Actor Critic (A3C) is an effective Reinforcement Learning (RL) algorithm for a wide range of tasks, such as Atari games and robot control. The agent learns p…