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Daesol Cho

5 papers · 2022–2023 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+1 more ↓ 🌍 Conference Polyglot Β· Bronze πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸ—ΊοΈ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird πŸ‘‘ Triple Crown
πŸ“ˆ Trend Setter

Venues

NeurIPS (3) ICLR (1) ICML (1)

Top co-authors

H. Jin Kim (5) Seungjae Lee (3) Jigang Kim (1) Jonghae Park (1) Dongseok Shim (1)

Research topics

Reinforcement Learning (5) Methods (5) Applications (3) Deep Learning (2) Machine Learning (2) Learning Types Β· Deep Learning (2) Artificial Intelligence (1) Application Areas (1) Core AI (1) Learning Paradigms (1) Learning Types Β· Machine Learning (1)

Keywords

curriculum reinforcement learning (2) curriculum learning (2) offline reinforcement learning (1) image generation (1) robotic manipulation (1) optimal transport (1) data augmentation (1) bipartite matching (1) image synthesis (1) model-based reinforcement learning (1) autonomous reinforcement learning (1) embodied agent (1) intrinsic reward (1) distributional shift (1) goal generation (1) navigation task (1) implicit curriculum (1) bidirectional curriculum (1) non-episodic learning (1) state-conditioned generation (1)

Papers

CQM: Curriculum Reinforcement Learning with a Quantized World Model NeurIPS 2023 Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum ICML 2023 Diversify \& Conquer: Outcome-directed Curriculum RL via Out-of-Distribution Disagreement NeurIPS 2023 Outcome-directed Reinforcement Learning by Uncertainty \& Temporal Distance-Aware Curriculum Goal Generation ICLR 2023 S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning NeurIPS 2022