Lee, Kanghoon

10 publications

ICML 2025 Agent-Centric Actor-Critic for Asynchronous Multi-Agent Reinforcement Learning Whiyoung Jung, Sunghoon Hong, Deunsol Yoon, Kanghoon Lee, Woohyung Lim

AAAI 2025 Learning Strategy Representation for Imitation Learning in Multi-Agent Games Shiqi Lei, Kanghoon Lee, Linjing Li, Jinkyoo Park

ICML 2025 Online Pre-Training for Offline-to-Online Reinforcement Learning Yongjae Shin, Jeonghye Kim, Whiyoung Jung, Sunghoon Hong, Deunsol Yoon, Youngsoo Jang, Geon-Hyeong Kim, Jongseong Chae, Youngchul Sung, Kanghoon Lee, Woohyung Lim

ICML 2025 Penalizing Infeasible Actions and Reward Scaling in Reinforcement Learning with Offline Data Jeonghye Kim, Yongjae Shin, Whiyoung Jung, Sunghoon Hong, Deunsol Yoon, Youngchul Sung, Kanghoon Lee, Woohyung Lim

ICMLW 2024 CADO: Cost-Aware Diffusion Solvers for Combinatorial Optimization Through RL Fine-Tuning Deunsol Yoon, Hyungseok Song, Kanghoon Lee, Woohyung Lim

ICMLW 2023 Hierarchical Decomposition Framework for Feasibility-Hard Combinatorial Optimization Hanbum Ko, Minu Kim, Han-Seul Jeong, Sunghoon Hong, Deunsol Yoon, Youngjoon Park, Woohyung Lim, Honglak Lee, Moontae Lee, Kanghoon Lee, Sungbin Lim, Sungryull Sohn

NeurIPSW 2022 ReSPack: A Large-Scale Rectilinear Steiner Tree Packing Data Generator and Benchmark Kanghoon Lee, Youngjoon Park, Han-Seul Jeong, Sunghoon Hong, Deunsol Yoon, Sungryull Sohn, Minu Kim, Hanbum Ko, Moontae Lee, Honglak Lee, Kyunghoon Kim, Euihyuk Kim, Seonggeon Cho, Jaesang Min, Woohyung Lim

MLJ 2019 Bayesian Optimistic Kullback-Leibler Exploration Kanghoon Lee, Geon-hyeong Kim, Pedro A. Ortega, Daniel D. Lee, Kee-Eung Kim

AAAI 2015 Reward Shaping for Model-Based Bayesian Reinforcement Learning Hyeoneun Kim, Woosang Lim, Kanghoon Lee, Yung-Kyun Noh, Kee-Eung Kim

AAAI 2015 Tighter Value Function Bounds for Bayesian Reinforcement Learning Kanghoon Lee, Kee-Eung Kim