769 Open source projects that are alternatives of or similar to Policy Gradient

Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

Safe Bayesian Optimization

The Tensorflow code and a DeepMind Lab wrapper for my article "Meta-Reinforcement Learning" on FloydHub.

Machine learning and data science blog.

Malmo Collaborative AI Challenge - Team Pig Catcher

Implementations of selected inverse reinforcement learning algorithms.

Solving OpenAI Gym problems.

Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.

Simple tools for logging and visualizing, loading and training

This is a Python 3.0 project for analyzing stock prices and methods of stock trading. It uses native Python tools and Google TensorFlow machine learning.

🃏 OpenAI Gym No Limit Texas Hold 'em Environment for Reinforcement Learning

Using RGB Image as Visual Input for Mapless Robot Navigation

A working implementation of the Categorical DQN (Distributional RL).

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

Hearthstone simulator using C++ with some reinforcement learning

Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

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

Julia code for the book Reinforcement Learning An Introduction

AutoKernel 是一个简单易用，低门槛的自动算子优化工具，提高深度学习算法部署效率。

Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction

Connecting Torch to StarCraft

Our NIPS 2017: Learning to Run source code

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

💡 Repo of learning notes in DRL and DL, theory, codes, models and notes maybe.

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

A JavaScript deep learning and reinforcement learning library.

Tic Tac Toe Machine Learning

Initiative to read research papers

Implementation of Reinforcement Learning algorithms in Python, based on Sutton's & Barto's Book (Ed. 2)

Conversational AI Reading Materials

A deep reinforcement learning bot that plays tetris

Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)

Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations

Quiz & Assignment of Coursera

C51-DDQN in Keras

Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.

Collection of reinforcement learners implemented in python. Mainly including DQN and its variants

(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.

Learning human driver models from NGSIM data with imitation learning.

Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym

AI各领域学习资料整理。（A collection of all skills and knowledges should be got command of to obtain an AI relevant job offer. There are online blogs, my personal blogs, electronic books copy.）

Omaha Poker functionality+some features for PokerRL Reinforcement Learning card framwork

Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC

Dynamics and Domain Randomized Gait Modulation with Bezier Curves for Sim-to-Real Legged Locomotion.

Reinforcement Learning and Transfer Learning based StarCraft Micromanagement

My Exploration on Deep Reinforcement Learning Survey

Minimalistic gridworld package for OpenAI Gym

Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms

An OpenAI Gym Env for Panda

We tested 3 approaches for Pair Trading: distance, cointegration and reinforcement learning approach.

Repository to accompany RSS 2018 paper on dexterous hand manipulation

Efficient Batched Reinforcement Learning in TensorFlow

MAGNet: Multi-agents control using Graph Neural Networks

Seoul AI Gym is a toolkit for developing AI algorithms.

Reinforcement learning with tensorflow 2 keras

A comprehensive autonomous decentralized systems framework for AI control architects.