363 Open source projects that are alternatives of or similar to Baby A3c

Deep reinforcement learning using baidu PARL(maze,flappy bird and so on)

This is a practical resource that makes it easier to learn about and apply Practical Deep Reinforcement Learning (DRL) https://ibrahimsobh.github.io/Practical-DRL/

Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent

SeqGAN but with more bells and whistles

Repository for codes of Deep Reinforcement Learning (DRL) lectured at Samsung

RL starter files in order to immediatly train, visualize and evaluate an agent without writing any line of code

AI项目（强化学习、深度学习、计算机视觉、推荐系统、自然语言处理、机器导航、医学影像处理）

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to choose an action to sell, buy, or hold the stocks to maximize the gain in asset value. The paper also acknowledges the need for a system that predicts the trend in stock value to work along with the reinforcement …

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List of awesome resources for machine learning-based algorithmic trading

A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each other, and investigate reliability of learned MuZero MDP models.

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

Remove watermark automatically(Just can use for fixed position watermark till now). 自动水印消除算法的实现（目前只支持固定水印位置）。

Deep Recurrent Q-Learning vs Deep Q Learning on a simple Partially Observable Markov Decision Process with Minecraft

Use AWS RoboMaker and demonstrate running a simulation which trains a reinforcement learning (RL) model to drive a car around a track

Rainbow: Combining Improvements in Deep Reinforcement Learning

Reinforcement Learning Demos

[ICRA 2021] Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning

[RSS 2019] End-to-End Robotic Reinforcement Learning without Reward Engineering

playing idealized trading games with deep reinforcement learning

DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

Grokking Deep Reinforcement Learning

Actor-critic with experience replay

PyTorch implementation of soft actor critic

TensorFlow implementation of Deep Reinforcement Learning papers

Summaries of machine learning papers

Deep Q-Learning Network in pytorch (not actively maintained)

A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.

MXNET + OpenAI Gym implementation of A3C from "Asynchronous Methods for Deep Reinforcement Learning"

A reinforcement learning package for Julia

Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"

Deep reinforcement learning for recommendation system

The SSBM "Phillip" AI.

source code for 'Improving automatic source code summarization via deep reinforcement learning'

Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch

This repository hosts a customized PPO based agent for Carla. The goal of this project is to make it easier to interact with and experiment in Carla with reinforcement learning based agents -- this, by wrapping Carla in a gym like environment that can handle custom reward functions, custom debug output, etc.

PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)

Noisy Networks for Exploration

PyTorch Implementation of Neural Episodic Control (NEC)

Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.

Flappy Frog hack using Deep Reinforcement Learning (Deep Q-learning). 暴力膜蛤不可取。

31 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

Unity Machine Learning Agents Toolkit

An OpenAI gym wrapper for CARLA simulator

This is a simple implementation of DeepMind's PySC2 RL agents.

Basic versions of agents from Spinning Up in Deep RL written in PyTorch

Pytorch implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning https://arxiv.org/abs/1705.04862

gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo

A pytorch based Gomoku game model. Alpha Zero algorithm based reinforcement Learning and Monte Carlo Tree Search model.

An out-of-the-box GUI tool for offline deep reinforcement learning

An independent implementation of DeepMind's AlphaGoZero in Scala, using Deeplearning4J (DL4J)

深度学习论文阅读路线图

A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.

PyTorch Implementation of Trust Region Policy Optimization (TRPO)

Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:

Notes and comments about Deep Reinforcement Learning papers

使用深度强化学习解决视觉跟踪和视觉导航问题

We reproduced DeepMind's results and implement a meta-learning (MLSH) agent which can generalize across minigames.