wwxFromTju

OpenRLHF

An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DPO & LoRA & RingAttention & RFT)

MARLlib

One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)

AR_tju

北洋AR，建立在天津大学录取通知书上，然后可以将学校的图像显示出来

awesome-reinforcement-learning-lib

GitHub's code repository is all you need

awesome-reinforcement-learning-zh

中文整理的强化学习资料（Reinforcement Learning）

deepmind_MAS_enviroment

some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Cooperative Multi-Agent Learning》

DRL_trick

maddpg-tf

use tensorflow to implement the MADDPG(simple_tag)

MARL-101

just for fun

sc2-101-zh

just for fun

wwxFromTju/MAVEN

Submission for MAVEN: Multi-Agent Variational Exploration

wwxFromTju/AAAI-video-slide

wwxFromTju/alpha-zero-gomoku

A Multi-threaded Implementation of AlphaZero

wwxFromTju/BEAR

Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction

wwxFromTju/CHER

Curriculum-guided Hindsight Experience Replay (NeurIPS-2019)

wwxFromTju/d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

wwxFromTju/difftaichi

10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)

wwxFromTju/dreamer

Dream to Control: Learning Behaviors by Latent Imagination

wwxFromTju/EITI-EDTI

Influence-Based Multi-Agent Exploration

wwxFromTju/epciclr2020

wwxFromTju/gdrl

Code to go along with the Grokking Deep Reinforcement Learning book

wwxFromTju/MetaIRL

Meta-Inverse Reinforcement Learning with Probabilistic Context Variables

wwxFromTju/modular-assemblies

[NeurIPS 2019] Code for the paper "Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity"

wwxFromTju/Multi-Agent-Reinforcement-Learning-Environment

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

wwxFromTju/mushroom-rl

Python library for Reinforcement Learning experiments.

wwxFromTju/muzero-pytorch

Pytorch Implementation of MuZero

wwxFromTju/once-for-all

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

wwxFromTju/p3s

Implementation of Population-Guided Parallel Policy Search for Reinforcement Learning

wwxFromTju/PARL

PARL A high-performance distributed training framework for Reinforcement Learning

wwxFromTju/policy_transfer

wwxFromTju/pymarl_alpha

Alpha code release for Python Multi-Agent Reinforcement Learning framework

wwxFromTju/pytorch_metric_learning

A flexible and extensible metric learning library, written in PyTorch.

wwxFromTju/ray

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

wwxFromTju/rela

Reinforcement Learning Assembly

wwxFromTju/SEPT

Single Episode Policy Transfer in Reinforcement Learning

wwxFromTju/smac

SMAC: The StarCraft Multi-Agent Challenge

wwxFromTju/SV-RL

[ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning

wwxFromTju/train-procgen

Code for the paper "Leveraging Procedural Generation to Benchmark Reinforcement Learning"

wwxFromTju/TRGPPO

wwxFromTju/zhusuan

A library for Bayesian deep learning, generative models, based on Tensorflow