Daesol Cho - RankMe

21 papers A* 5A 1Journal 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AdaptManip: Learning Adaptive Whole-Body Object Lifting and Delivery with Online Recurrent State Estimation. CoRR Morgan Byrd, Donghoon Baek, Kartik Garg, Hyunyoung Jung, Daesol Cho, Maks Sorokin, Robert Wright, Sehoon Ha
2026	J	`jnl`	EgoAVFlow: Robot Policy Learning with Active Vision from Human Egocentric Videos via 3D Flow. CoRR Daesol Cho, Youngseok Jang, Danfei Xu, Sehoon Ha
2026	J	`jnl`	Temporal Action Representation Learning for Tactical Resource Control and Subsequent Maneuver Generation. CoRR Hoseong Jung, Sungil Son, Daesol Cho, Jonghae Park, Changhyun Choi, H. Jin Kim
2025	A	`conf`	Leveraging Temporally Extended Behavior Sharing for Multi-task Reinforcement Learning. IROS Gawon Lee, Daesol Cho, H. Jin Kim
2025	J	`jnl`	Leveraging Temporally Extended Behavior Sharing for Multi-task Reinforcement Learning. CoRR Gawon Lee, Daesol Cho, H. Jin Kim
2025	J	`jnl`	Periodic Skill Discovery. CoRR Jonghae Park, Daesol Cho, Jusuk Lee, Dongseok Shim, Inkyu Jang, H. Jin Kim
2025	J	`jnl`	Single-View 3D-Aware Representations for Reinforcement Learning by Cross-View Neural Radiance Fields. IEEE Robotics Autom. Lett. Daesol Cho, Seungyeon Yoo, Dongseok Shim, H. Jin Kim
2023	A*	`conf`	CQM: Curriculum Reinforcement Learning with a Quantized World Model. NeurIPS Seungjae Lee, Daesol Cho, Jonghae Park, H. Jin Kim
2023	J	`jnl`	CQM: Curriculum Reinforcement Learning with a Quantized World Model. CoRR Seungjae Lee, Daesol Cho, Jonghae Park, H. Jin Kim
2023	A*	`conf`	Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum. ICML Jigang Kim, Daesol Cho, H. Jin Kim
2023	J	`jnl`	Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum. CoRR Jigang Kim, Daesol Cho, H. Jin Kim
2023	A*	`conf`	Diversify & Conquer: Outcome-directed Curriculum RL via Out-of-Distribution Disagreement. NeurIPS Daesol Cho, Seungjae Lee, H. Jin Kim
2023	J	`jnl`	Diversify & Conquer: Outcome-directed Curriculum RL via Out-of-Distribution Disagreement. CoRR Daesol Cho, Seungjae Lee, H. Jin Kim
2023	J	`jnl`	Outcome-directed Reinforcement Learning by Uncertainty & Temporal Distance-Aware Curriculum Goal Generation. CoRR Daesol Cho, Seungjae Lee, H. Jin Kim
2023	A*	`conf`	Outcome-directed Reinforcement Learning by Uncertainty \& Temporal Distance-Aware Curriculum Goal Generation. ICLR Daesol Cho, Seungjae Lee, H. Jin Kim
2022	J	`jnl`	Automating Reinforcement Learning With Example-Based Resets. IEEE Robotics Autom. Lett. Jigang Kim, Jae Hyeon Park, Daesol Cho, H. Jin Kim
2022	J	`jnl`	Automating Reinforcement Learning with Example-based Resets. CoRR Jigang Kim, Jae Hyeon Park, Daesol Cho, H. Jin Kim
2022	A*	`conf`	S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning. NeurIPS Daesol Cho, Dongseok Shim, H. Jin Kim
2022	J	`jnl`	S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning. CoRR Daesol Cho, Dongseok Shim, H. Jin Kim
2022	J	`jnl`	Unsupervised Reinforcement Learning for Transferable Manipulation Skill Discovery. CoRR Daesol Cho, Jigang Kim, H. Jin Kim
2022	J	`jnl`	Unsupervised Reinforcement Learning for Transferable Manipulation Skill Discovery. IEEE Robotics Autom. Lett. Daesol Cho, Jigang Kim, H. Jin Kim