PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference. - Masashi Okada; Norio Kosaka; Tadahiro Taniguchi (IROS, 2020)

Know Your Action Set: Learning Action Relations for Reinforcement Learning. - Ayush Jain 003; Norio Kosaka; Kyung-Min Kim; Joseph J. Lim (ICLR, 2022)

Direct Preference-based Policy Optimization without Reward Modeling. - Gaon An; Junhyeok Lee 004; Xingdong Zuo; Norio Kosaka; Kyung-Min Kim; Hyun Oh Song (NeurIPS, 2023)

Designing an offline reinforcement learning objective from scratch. - Gaon An; Junhyeok Lee 004; Xingdong Zuo; Norio Kosaka; Kyung-Min Kim; Hyun Oh Song (CoRR, 2023)

Mitigating Suboptimality of Deterministic Policy Gradients in Complex Q-functions. - Ayush Jain 003; Norio Kosaka; Xinhu Li; Kyung-Min Kim; Erdem Biyik; Joseph J. Lim (CoRR, 2024)