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sunghunkwag/README.md

Independent AI Researcher
I design and build advanced AI architectures for real-world impact through direct human–AI collaboration, leveraging AI agent tools to accelerate research and implementation. I focus on conceptual design while overseeing the technical workflow .

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  1. SSM-MetaRL-TestCompute SSM-MetaRL-TestCompute Public

    Unified meta-reinforcement learning benchmark for fast adaptation with State Space Models (SSM), test-time improvement, and modular policy orchestration. Includes automated training, evaluation, ad…

    Python

  2. DHC-SSM-Architecture DHC-SSM-Architecture Public

    Deterministic Hierarchical Causal State Space Model: A revolutionary O(n) efficiency architecture combining spatial encoding, tactical SSM processing, strategic GNN reasoning, and deterministic Par…

    Python

  3. SSM-MetaRL-Unified SSM-MetaRL-Unified Public

    Unified framework for Experience-Augmented Meta-RL with State Space Models

    Python

  4. Autonomous-Self-Organizing-AI Autonomous-Self-Organizing-AI Public

    Autonomous Self-Organizing AI System: A reward-free, self-goal-setting architecture with high-order meta-cognition, intrinsic motivation, and emergent intelligence through information-theoretic pri…

    Python

  5. MetaRL-Agent-Emergence MetaRL-Agent-Emergence Public

    Multi-agent continual skill discovery with SSM-based meta-learners for lifelong learning and AGI research

    Python

  6. HierarchicalReasoningModel HierarchicalReasoningModel Public

    Hierarchical Reasoning Model with Adaptive Computation Time and Meta-Reinforcement Learning - A novel architecture for dynamic multi-level reasoning with batch-wise ACT processing

    Python