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symoon11/README.md

Hi there 👋

I'm currently working on enhancing the reasoning capabilities of large language models by synthetic data generation and reinforcement learning.

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  1. snu-mllab/parsimonious-blackbox-attack snu-mllab/parsimonious-blackbox-attack Public

    Official TensorFlow implementation of "Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization" (ICML 2019)

    Python 41 14

  2. snu-mllab/EDAC snu-mllab/EDAC Public

    Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)

    Python 79 6

  3. snu-mllab/DCPG snu-mllab/DCPG Public

    Official PyTorch implementation of "Rethinking Value Function Learning for Generalization in Reinforcement Learning" (NeurIPS 2022)

    Python 14 3

  4. snu-mllab/Achievement-Distillation snu-mllab/Achievement-Distillation Public

    Official PyTorch implementation of "Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning" (NeurIPS 2023)

    Python 35 4

  5. snu-mllab/guided-rest snu-mllab/guided-rest Public

    Official implementation of "Learning to Better Search with Language Models via Guided Reinforced Self-Training" (NeurIPS 2025)

    Python 6

  6. dreamerv3-flax dreamerv3-flax Public

    Flax Implementation of DreamerV3 on Crafter

    Python 18 1