364 Open source projects that are alternatives of or similar to pysc2-rl-agents

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

A high-performance Atari A3C agent in 180 lines of PyTorch

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

TensorFlow A2C to solve Acrobot, with synchronized parallel environments

A pytorch tutorial for DRL(Deep Reinforcement Learning)

🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

No description or website provided.

PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

Modularized Implementation of Deep RL Algorithms in PyTorch

Minimal and Clean Reinforcement Learning Examples

Scalable, event-driven, deep-learning-friendly backtesting library

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

Deep Reinforcement Learning with pytorch & visdom

☔ Deep RL agents with PyTorch☔

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

Reinforcement Learning for Super Mario Bros using A3C on GPU

Mxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPO

pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

Combining deep learning and reinforcement learning.

PySC2 OpenAI Gym Environments

A3C LSTM Atari with Pytorch plus A3G design

Curated list of pysc2 mini-games . Singleton Environmnets.Debugged by @SoyGema and mini-game authors

Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex

PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.

Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs

Simple Reinforcement Learning Framework

NeurIPS 2019: DQN(λ) = Deep Q-Network + λ-returns.

Tensorflow implementation of A3C algorithm

PyTorch implementation of "Asynchronous advantage actor-critic"

juliareinforcementlearning.org/

No description or website provided.

Implementation of Deep/Double Deep/Dueling Deep Q networks for playing Atari games using Keras and OpenAI gym

Distributed A3C

Machine- and Reinforcement Learning ExtensioN for (game) Engines

Implementation of Deep Deterministic Policy Gradients (DDPG) to teach a Quadcopter How to Fly!

Code repository for SARNet: Learning Multi-Agent Communication through Structured Attentive Reasoning (NeurIPS 2020)

Deep Reinforcement Learning algorithms implemented in PyTorch

The code for the SRDQN algorithm to train an agent for the beer game problem

An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.

Fitness landscape exploration sandbox for biological sequence design.

My notes on reinforcement learning papers

Communicative Multiagent Deep Reinforcement Learning for Anatomical Landmark Detection using PyTorch.

Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥

Introduction to Deep Reinforcement Learning

Evaluating pre-trained navigation agents under corruptions

Python library for reading MPQ archives.

Examples

StarCraft II Learning Environment

Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020

an implementation of CommNet

Official implementation of the paper "Approximating two value functions instead of one: towards characterizing a new family of Deep Reinforcement Learning Algorithms": https://arxiv.org/abs/1909.01779 To appear at the next NeurIPS2019 DRL-Workshop