I'm currently working on deep reinforcement learning.
PhD Student in computer science
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Seoul National University
- Seoul
- https://symoon11.github.io/
Highlights
- Pro
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snu-mllab/parsimonious-blackbox-attack
snu-mllab/parsimonious-blackbox-attack PublicOfficial TensorFlow implementation of "Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization" (ICML 2019)
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snu-mllab/EDAC
snu-mllab/EDAC PublicOfficial PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)
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snu-mllab/preemptive-robustification
snu-mllab/preemptive-robustification PublicOfficial PyTorch implementation of "Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks" (AAAI 2022)
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snu-mllab/DCPG
snu-mllab/DCPG PublicOfficial PyTorch implementation of "Rethinking Value Function Learning for Generalization in Reinforcement Learning" (NeurIPS 2022)
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snu-mllab/Achievement-Distillation
snu-mllab/Achievement-Distillation PublicOfficial PyTorch implementation of "Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning" (NeurIPS 2023)
Python 27
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