A collection of my research, writings, and open-source projects.
Research Papers
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Survey on Exploration in Reinforcement Learning - A comprehensive survey of exploration methods in RL, covering intrinsic motivation, curiosity-driven learning, and count-based approaches.
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Mutual Information & State Intrinsic Control with Tsallis Entropy - Experiments on using Tsallis entropy for intrinsic motivation in state-space exploration.
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SeekerGym: Benchmarking Agentic Information Seeking under Uncertainty - An evaluation framework for assessing how well LLM agents autonomously search for and integrate relevant information, featuring belief-structuring and meta-reflection techniques.
Open Source
GitHub: github.com/remyjkim
Selected Repositories
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12-factor-info-capitalism - A framework for understanding information capitalism through the lens of the 12-factor app methodology. Explores how data, attention, and network effects shape modern digital economies.
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cc-architectures - Reference architectures for building claude-code like apps and architectures. Covers patterns for multi-agents, to orchestrator-worker models, skills, and more.
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local-mlx-server - A lightweight local inference server built on Apple’s MLX framework. Enables running LLMs locally on Apple Silicon with minimal setup.