- Giseung Park, Sungho Choi and Youngchul Sung, “Blockwise sequential model learning for partially observable reinforcement learning,” the 36rd AAAI Conference on Artificial Intelligence (AAAI ) 2022, Feb. 2022
- Seungyul Han and Youngchul Sung, “A max-min entropy framework for reinforcement learning,” Conference on Neural Information Processing Systems (NeurIPS) 2021
- Seungyul Han and Youngchul Sung, “Diversity actor-critic: Sample-aware entropy regularization for sample-efficient exploration,” International Conference on Machine Learning (ICML) 2021, Jul. 2021
- Woonjun Kim, Jongeui Park, and Youngchul Sung, “Communication in multi-agent reinforcement learning: Intention sharing,” International Conference on Learning Representations (ICLR) 2021, May 2021
- Whiyoung Jung, Giseung Park, and Youngchul Sung, “Population-Guided Parallel Policy Search for Reinforcement Learning,” International Conference on Learning Representations (ICLR) 2020, Vienna, Austria, May 2020
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