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Name: shenjie

Type: User

shenjie's Projects

mopo

Code for MOPO: Model-based Offline Policy Optimization

move37

Coding Demos from the School of AI's Move37 Course

mujoco-worldgen

Automatic object XML generation for Mujoco

multi-agent-deep-deterministic-policy-gradients

A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm

multi-agent-distributed-ppo-traffc-light-control

multi agent RL for traffic light control in Sumo using distributed PPO

multi-agent-reinforcement-learning

PyTorch implements multi-agent reinforcement learning algorithms, including QMIX, Independent PPO, Centralized PPO, Grid Wise Control, Grid Wise Control+PPO, Grid Wise Control+DDPG.

multi-agent-reinforcement-learning-environment

Hello, I pushed some python environments for Multi Agent Reinforcement Learning.

multi-commander

Multi & Single Agent Reinforcement Learning for Traffic Signal Control Problem

multiagent_mujoco

Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.

mycroft-core

Mycroft Core, the Mycroft Artificial Intelligence platform.

netron

Visualizer for neural network, deep learning, and machine learning models

nyxt

Nyxt - the hacker's browser.

offlinerl-lib

Benchmarked implementations of Offline RL Algorithms.

on-policy

This is the official implementation of Multi-Agent PPO (MAPPO).

option-critic-pytorch

PyTorch implementation of the Option-Critic framework, Harb et al. 2016

otter-browser

Otter Browser aims to recreate the best aspects of the classic Opera (12.x) UI using Qt5

outline

The fastest knowledge base for growing teams. Beautiful, realtime collaborative, feature packed, and markdown compatible.

overcooked-demo

Web application where humans can play Overcooked with AI agents.

oyster

Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)

pantheonrl

PantheonRL is a package for training and testing multi-agent reinforcement learning environments. PantheonRL supports cross-play, fine-tuning, ad-hoc coordination, and more.

per

Prioritized Experience Replay (PER) implementation in PyTorch

pettingzoo

An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities

pfrl

PFRL: a PyTorch-based deep reinforcement learning library

pg-is-all-you-need

Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.

popular-rl-algorithms

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

postgres

Unmodified Postgres with some useful plugins

powerinfer

High-speed Large Language Model Serving on PCs with Consumer-grade GPUs

ppo-discrete-pytorch

A clean and robust Pytorch implementation of PPO on Discrete action space

ppo-pytorch

Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)

press

Managed Frappe Hosting

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