MUAX
Posts by Collection
portfolio
Autonomous Learning of Physical Environment through Neural Tree Search
Proposed a MCTS-based reinforcement learning algorithm to perform active slam. 
Temporal Graph Attention Network Prediction on Ethereum Transaction Cost and Analysis on ‘The Merge’
Proposed a GNN model based on temporal transaction network to predict Ethereum Transaction Cost
Light Attention Vision Modules for Atari
Propose an attention-based vision policy that can play Atari games based on pixel input.
Reinforcement Learning for Goal-based Wealth Management: A study of behavior improvement through approximation and reward engineering
Proposed a reward engineering method and leveraged function approximation for value function.
publications
Learn to Tour: Operator Design For Feasible Solution Mapping
Published in , 2023
RL for operator sequential execution
Download here
SLAMuZero: Plan and Learn to Map for Joint SLAM and Navigation
Published in ICAPS, 2024
SLAM + MuZero for navigation
Download here
TraveLLM: Could you plan my new public transit route in face of a network disruption?
Published in , 2024
LLM for Route Recommendation
Download here
talks
Learn to Tour: Operator Design for Solution Feasibility Mapping
Published:
session: OR via Reinforcement Learning and Beyond, INFORMS 2023
SLAMuZero: Plan and learn to Map for Joint SLAM and Navigation
Published:
session: Robots and Space, ICAPS 2024
teaching
Graduate Optimization Models and Methods, Teaching Assistant
Graduate course, Columbia University, IEOR, 2023
Take the role of Teaching Assistant for Graduate Optimization Models and Methods, topics include linear programming, the simplex method, duality, nonlinear, integer and dynamic programming. Duties included:
- Graded homework and course project and provided detailed feedback
- Revised solutions
- improved the final project Moving Object Detection coding part.