Variational Intrinsic Control Revisited. - Taehwan Kwon (ICLR, 2021)

Insights From the NeurIPS 2021 NetHack Challenge. - Eric Hambro; Sharada P. Mohanty; Dmitrii Babaev; Minwoo Byeon; Dipam Chakraborty; Edward Grefenstette; Minqi Jiang; DaeJin Jo; Anssi Kanervisto; Jongmin Kim 006; Sungwoong Kim; Robert Kirk; et al. (NeurIPS (Competition and Demos), 2021)

Interactive Grounded Language Understanding in a Collaborative Environment: Retrospective on Iglu 2022 Competition. - Julia Kiseleva; Alexey Skrynnik; Artem Zholus; Shrestha Mohanty; Negar Arabzadeh; Marc-Alexandre Côté; Mohammad Aliannejadi; Milagro Teruel; Ziming Li 001; Mikhail Burtsev 001; Maartje ter Hoeve; Zoya Volovikova; et al. (NeurIPS (Competition and Demos), 2021)

Selective Token Generation for Few-shot Natural Language Generation. - DaeJin Jo; Taehwan Kwon; Eun-Sol Kim; Sungwoong Kim (COLING, 2022)

LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward. - DaeJin Jo; Sungwoong Kim; Daniel Wontae Nam; Taehwan Kwon; Seungeun Rho; Jongmin Kim 006; Donghoon Lee (NeurIPS, 2022)

Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning. - Hyunwook Kang; Taehwan Kwon; Jinkyoo Park; James R. Morrison (NeurIPS, 2022)

Efficient Latent Variable Modeling for Knowledge-Grounded Dialogue Generation. - Gunsoo Han; Daejin Jo; Daniel Wontae Nam; Eunseop Yoon; Taehwan Kwon; Seungeun Rho; Kyoung-Woon On; Chang Dong Yoo; Sungwoong Kim (EMNLP (Findings), 2023)

Effortless Integration of Memory Management into Open-Domain Conversation Systems. - Eunbi Choi; Kyoung-Woon On; Gunsoo Han; Sungwoong Kim; Daniel Wontae Nam; Daejin Jo; Seungeun Rho; Taehwan Kwon; Minjoon Seo (CoRR, 2023)

Hexa: Self-Improving for Knowledge-Grounded Dialogue System. - Daejin Jo; Daniel Wontae Nam; Gunsoo Han; Kyoung-Woon On; Taehwan Kwon; Seungeun Rho; Sungwoong Kim (CoRR, 2023)