Squirtle-gpj

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

gym

A toolkit for developing and comparing reinforcement learning algorithms.

ml-agents

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

tianshou

An elegant PyTorch deep reinforcement learning library.

MARL-Papers

Paper list of multi-agent reinforcement learning (MARL)

PARL

A high-performance distributed training framework for Reinforcement Learning

introRL

Intro to Reinforcement Learning (强化学习纲要）

learn2learn

A PyTorch Library for Meta-learning Research

multiagent-particle-envs

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

Minigrid

Simple and easily configurable grid world environments for reinforcement learning

pymarl

Python Multi-Agent Reinforcement Learning framework

TD3

Author's PyTorch implementation of TD3 for OpenAI gym tasks

Awesome-Meta-Learning

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

MARL-Algorithms

Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

Multi-Agent-Reinforcement-Learning-Environment

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

MAAC

Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019

oyster

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

ROMA

Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)

CollaQ

A code implementation for our arXiv paper "Multi-agent Adhoc Team Play using Decompositional Q function"

auto-drac

Automatic Data-Regularized Actor-Critic (Auto-DrAC)

awesome-model-based-reinforcement-learning

A curated list of awesome Model-based reinforcement learning resources

QTRAN

There will be updates later

REFIL

Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021

CalibratedModelBasedRL

Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.

rebib

Retrieve information from DBLP and update BibTex files automatically

IRecGAN

Implementation for our paper in NeurIPS 2019

policy-dynamics-value-functions

Model_Based_RL_Recommendation_System

my undergrad thesis project

Distributed-VI

Distributed Implementation of Value Iteration, built on top of Ray Framework.