본 연구실에서 ICML 2022 Main Conference 논문 2편
Jongseong Chae, Seungyul Han, Whiyoung Jung, Myungsik Cho, Sungho Choi, and Youngchul Sung, “Robust imitation learning against variations in environment dynamics,” International Conference on Machine Learning (ICML) 2022 , Baltimore, MD, USA, Jul. 2022
Jeewon Jeon, Woojun Kim, Whiyoung Jung and Youngchul Sung, “MASER: Multi-Agent reinforcementlearning with Subgoals generated from Experience Replay buffer,” International Conference on Machine Learning (ICML) 2022 , Baltimore, MD, USA, Jul. 2022
에 추가로, ICML 2022 Workshops에서 3편의 논문을 발표합니다.
Jongeui Park and Youngchul Sung, "Nonlinear Rescaling of Acquisition Metric Values Based on Distribution Fitting," ICML2022 Workshop on Adaptive Experimental Design and Active Learning in the Real World (ReALML), Jul. 2022
Woojun Kim and Youngchul Sung, "An Adaptive Entropy-Regularization Framework for Multi-Agent Reinforcement Learning," Decision Awareness in Reinforcement Learning (DARL) Workshop at ICML 2022, Jul. 2022
Woojun Kim, Whiyoung Jung, Myungsik Cho, and Youngchul Sung, "A Variational Approach to Mutual Information-Based Coordination for Multi-Agent Reinforcement Learning," ICML 2022 Workshop AI for Agent-Based Modelling (AI4ABM), Jul. 2022