3 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.AI2022★ 3 cited
Curiosity-Driven Multi-Agent Exploration with Mixed Objectives
Roben Delos Reyes, Kyunghwan Son, Jinhwan Jung +2
Intrinsic rewards have been increasingly used to mitigate the sparse reward problem in single-agent reinforcement learning. These intrinsic rewards encourage the agent to look for…
cs.LG2020★ 1 cited
Enlarging Discriminative Power by Adding an Extra Class in Unsupervised Domain Adaptation
Hai H. Tran, Sumyeong Ahn, Taeyoung Lee +1
In this paper, we study the problem of unsupervised domain adaptation that aims at obtaining a prediction model for the target domain using labeled data from the source domain and…