Enhancing Monte Carlo Tree Search for Playing Hearthstone. - Jean Seong Bjorn Choe; Jong-Kook Kim (CoG, 2019)

Micro Junction Agent: A Scalable Multi-agent Reinforcement Learning Method for Traffic Control. - BumKyu Choi; Jean Seong Bjorn Choe; Jong-Kook Kim (ICAART (3), 2022)

The Bid Picture: Auction-Inspired Multi-player Generative Adversarial Networks Training. - JooYong Shim; Jean Seong Bjorn Choe; Jong-Kook Kim (CoRR, 2024)

Maximum Entropy On-Policy Actor-Critic via Entropy Advantage Estimation. - Jean Seong Bjorn Choe; Jong-Kook Kim (CoRR, 2024)

Average-Reward Maximum Entropy Reinforcement Learning for Underactuated Double Pendulum Tasks. - Jean Seong Bjorn Choe; BumKyu Choi; Jong-Kook Kim (CoRR, 2024)

Reinforcement Learning for Robust Athletic Intelligence: Lessons from the 2nd 'AI Olympics with RealAIGym' Competition. - Felix Wiebe; Niccolò Turcato; Alberto Dalla Libera; Jean Seong Bjorn Choe; BumKyu Choi; Tim Lukas Faust; Habib Maraqten; Erfan Aghadavoodi; Marco Calì; Alberto Sinigaglia; Giulio Giacomuzzo; Diego Romeres; et al. (CoRR, 2025)

Average-Reward Maximum Entropy Reinforcement Learning for Global Policy in Double Pendulum Tasks. - Jean Seong Bjorn Choe; BumKyu Choi; Jong-Kook Kim (CoRR, 2025)