ltzheng

data-privacy

Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, etc.

Synapse

[ICLR 2024] Trajectory-as-Exemplar Prompting with Memory for Computer Control

pddpg-hfo

Half Field Offense in Robocup 2D Soccer with reinforcement learning

CurriculumMARL

Code of "Towards Skilled Population Curriculum for MARL" + Implementation of Curriculum MARL algorithms based on Ray

mappo-football

Multi-Agent PPO (MAPPO) with the Google Research Football environment.

parallel-computing-ustc

Experiments for the Parallel Computing course

Replica-Currency-Estimation

Python implementation of Replica Currency Estimation

alphafold

Open source code for AlphaFold.

CDS

football

Google football with more wrappers, scenarios and flexible task parameters

formal-methods-ustc

Experiments for the Formal Methods course

numerical-analysis

Assignments for the Numerical Methods course at USTC

OFDClean

Contextual Data Cleaning with Ontological Functional Dependencies

pymarl2

Rethinking the Importance of Implementation Tricks in Multi-Agent Reinforcement Learning

coinrun

Code for the paper "Quantifying Transfer in Reinforcement Learning"

DexterousHands

This is a library that provides dual dexterous hand manipulation tasks through Isaac Gym

dm_control

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

dmc2gym

OpenAI Gym wrapper for the DeepMind Control Suite

EfficientZero

Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.

ltzheng.github.io

muzero-general

MuZero

open_spiel

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

overcooked_ai

A benchmark environment for fully cooperative human-AI performance.

pix2act

ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

vllm

A high-throughput and memory-efficient inference and serving engine for LLMs