Daesol Cho

Orcid: 0000-0002-4105-4422

According to our database1, Daesol Cho authored at least 14 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
EgoAVFlow: Robot Policy Learning with Active Vision from Human Egocentric Videos via 3D Flow.
CoRR, February, 2026

Temporal Action Representation Learning for Tactical Resource Control and Subsequent Maneuver Generation.
CoRR, February, 2026

AdaptManip: Learning Adaptive Whole-Body Object Lifting and Delivery with Online Recurrent State Estimation.
CoRR, February, 2026

2025
Single-View 3D-Aware Representations for Reinforcement Learning by Cross-View Neural Radiance Fields.
IEEE Robotics Autom. Lett., November, 2025

Periodic Skill Discovery.
CoRR, November, 2025

Leveraging Temporally Extended Behavior Sharing for Multi-task Reinforcement Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

2023
CQM: Curriculum Reinforcement Learning with a Quantized World Model.
CoRR, 2023

Diversify & Conquer: Outcome-directed Curriculum RL via Out-of-Distribution Disagreement.
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.
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.
Proceedings of the International Conference on Machine Learning, 2023

Outcome-directed Reinforcement Learning by Uncertainty \& Temporal Distance-Aware Curriculum Goal Generation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Automating Reinforcement Learning With Example-Based Resets.
IEEE Robotics Autom. Lett., 2022

Unsupervised Reinforcement Learning for Transferable Manipulation Skill Discovery.
IEEE Robotics Autom. Lett., 2022

S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022


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