chloe4d,github

agents

TF-Agents is a library for Reinforcement Learning in TensorFlow

awesome-beamers

beamer template collection

awesome-tikz

A curated list of awesome TikZ documentations, libraries and resources

beamertheme

Define a simple beamer theme

berkeleydeeprlcourse-homework-pytorch-solution

Solutions for CS294-112 Fall2018 assignments in Pytorch

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

hands-on-reinforcement-learning-with-python

Hands-On Reinforcement Learning with Python, published by Packt

iuur-for-multi-agent-reinforcement-learning

Two improvements based on MADDPG algorithm

maac

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

maddpg

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

maddpg-mpe

Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).

maddpg-on-pytorch

在PyTorch上重构multi-agent deep deterministic policy gradient(MADDPG)，将https://github.com/xuemei-ye/maddpg-mpe 修改到自己电脑上可运行。因为本人笔记本没有CUDA，实验速度太慢，不能保证算法被正确实现。

maddpg-pytorch

PyTorch Implementation of MADDPG (Lowe et. al. 2017)

madrl

Repo containing code for multi-agent deep reinforcement learning (MADRL).

marl_transfer

Code for paper 'Learning transferable cooperative behaviors in multi-agent teams' (ICML 2019)

mujoco-py

MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.

multiagent-gail

multiagent-gail working with multiagent-particle-env-v2 (which was modified by magail authors)

multiagent-particle-envs

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

octaveconv

A MXNet Implementation for Drop an Octave

open_spiel

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

pytorch-maddpg

A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)

reinforce

reinforcement learning

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

spinningup

An educational resource to help anyone learn deep reinforcement learning.

spriteworld

Spriteworld: a flexible, configurable python-based reinforcement learning environment

tensorboardx

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

tensorflow-course

Simple and ready-to-use tutorials for TensorFlow

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