Making Artificial Motor Cortex

Applying DRL to create artificial brains by imitating naturalistic agents and solving the inverse kinematics task.

Deep Reinforcement Learning Imitation Learning Generative Inverse Kinematic Parallel Training

Motor Control For Biomechanically Realistic Agents Through Intention Posterior Inference

Building deep state space models capable of exerting naturalistic controls for long sequences.

Deep State-Space Modeling Probabilistic Inference Imitation Learning

Topology-Driven Insights from Neuromechanical Agent Modeling

Studying the learned high dimensional topological space of an DRL agent.

Computational Topology Unsupervised Behavior Segmentation

Lightweight Agent-based Multi-collaboration Framework

Farmework for tackling language model multi-agents collborations in an adversarial environment.

Multi-agent Inference System Cooperative/Adversarial Learning

Multimodal Model Embodied Simulation

Reverse engineering from a embodied language model's perspective.

MLLM Probing LLM-ology

Learn From Your Enemy

Full end-to-end A-MARL framework for competitive and cooperative AI training.

Deep Reinforcement Learning RL Environment Adversarial MARL

Latent Planning as Optimization

Learning is about how to create structured projection space and plan with it during post-training inference.

Data Efficient Sampling Offline Deep Reinforcement Learning Long Horizon Planning Problems

Sequential Dynamics Recommendation Systems for Business Owners

Building recommendation systems using sequential data for business owners.

Recommendation Systems Data Science Workflow Deep Learning

Personal "Chat" Database For Study Data

Building a numerical / text database for my study data.

Data Science Workflow Vectorized Database & Language Model Vector Database

Robust Ensemble Learning

Ensemble learning in highly imbalanced real-world datasets.

Data Science Workflow Machine Learning

Blue Dot Project

Leveraging the power of neural network to build an Neural Gadget Controller, inspired by the Neural Turing Machine.

Topological Analysis Computational Neuroscience

Multi-addicted State Q-agent Decision Making

Studying effects of addition computationally via discrete reinforcement learning.

Discrete Reinforcement Learning Computational Neuroscience

Laplacian Eigenmap Visualization

Intuitive visualization of dimensional reduction algorithm for educational purpose.

Educational Visualization Unsupervised Learning