Stars
Automated robotic platform for conducting electrochemical reactions at MIT
Now we have become very big, Different from the original idea. Collect premium software in various categories.
Supplementary material for the paper about experiments from our May 2025 demo
Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
[TMC'23] EdgeTran: Device-Aware Co-Search of Transformers and Mobile Platforms
[JAIR'23] FlexiBERT tool for Transformer design space exploration.
Official implementation of the paper "Discovery of the Reward Function for Embodied RL Agents".
Repository of my graduation thesis project with the topic of reducing the communication in a multi-agent reinforcement learning system by exploiting observational robustness
NeurIPS 2025: Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning
SustainCluster: A high-fidelity, open-source Gymnasium environment for benchmarking multi-objective, sustainable workload scheduling across geo-distributed data centers. Integrates real-world AI tr…
VeraGrid, a cross-platform power systems software written in Python with user interface, used in academia and industry.
Code for paper Energy Management in Networked Multi-Energy Microgrids A Safety-Guaranteed Multi-Actor Single-Critic Deep Reinforcement Learning Approach
A Framework for developing Deep Reinforcement Learning environments using OpenDSS and Gymnasium for electric power distribution systems research optimization and control. We include common grid ser…
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Accompanying code for "Discovering State-of-the-art Reinforcement Algorithms" Nature publication
Data for the paper:"Objective-Driven Charging Control and Learning-Based Incentive Pricing for Demand Response of Electric Vehicles"
code repository for the paper-OptDisPro: LLM-based Multi-agent Framework for Flexibly Adapting Heuristic Optimal DisFlow
Codes for "Distributed differentially private energy management of virtual power plants"
This repository contains the code for paper Li, Ran, et al. "Decision-oriented learning for future power system decision-making under uncertainty." arXiv preprint arXiv:2401.03680 (2024). We develo…
[ICML 25] "Preference Optimization for Combinatorial Optimization Problems"
Code for paper "Privacy-Preserving Safe Reinforcement Learning for the Dispatch of a Local Energy Community".