Daesol Cho

According to our database, Daesol Cho authored at least 8 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

CQM: Curriculum Reinforcement Learning with a Quantized World Model.

Seungjae Lee, Daesol Cho, Jonghae Park, H. Jin Kim

CoRR, 2023

Diversify & Conquer: Outcome-directed Curriculum RL via Out-of-Distribution Disagreement.

Daesol Cho, Seungjae Lee, H. Jin Kim

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CQM: Curriculum Reinforcement Learning with a Quantized World Model.

Seungjae Lee, Daesol Cho, Jonghae Park, H. Jin Kim

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum.

Jigang Kim, Daesol Cho, H. Jin Kim

Proceedings of the International Conference on Machine Learning, 2023

Outcome-directed Reinforcement Learning by Uncertainty \& Temporal Distance-Aware Curriculum Goal Generation.

Daesol Cho, Seungjae Lee, H. Jin Kim

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Automating Reinforcement Learning With Example-Based Resets.

Jigang Kim, Jae Hyeon Park, Daesol Cho, H. Jin Kim

IEEE Robotics Autom. Lett., 2022

Unsupervised Reinforcement Learning for Transferable Manipulation Skill Discovery.

Daesol Cho, Jigang Kim, H. Jin Kim

IEEE Robotics Autom. Lett., 2022

S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning.

Daesol Cho, Dongseok Shim, H. Jin Kim

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022