589 Open source projects that are alternatives of or similar to Pytorch Reinforce

Safe Bayesian Optimization

Deep Reinforcement Learning for Keras.

Flappy Bird AI using Evolution Strategies

Code repository for the Animal AI Olympics competition

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

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

The multi-agent version of TORCS for developing control algorithms for fully autonomous driving in the cluttered, multi-agent settings of everyday life.

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

Implementations of selected inverse reinforcement learning algorithms.

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.）

StarCraft environment for OpenAI Gym, based on Facebook's TorchCraft. (In progress)

Complete-Life-Cycle-of-a-Data-Science-Project

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

A universal flight control tuning framework

Some JavaScript works published as demos, mostly ML or DS

Obstacle Tower Environment

Project on design and implement neural network that maximises driving speed of self-driving car through reinforcement learning.

Open Machine Learning course at MIPT

Learning to Learn how to Learn: Self-Adaptive Visual Navigation using Meta-Learning (https://arxiv.org/abs/1812.00971)

A3C LSTM Atari with Pytorch plus A3G design

Reinforcement Learning for WeChat Jump

Implementations of Reinforcement Learning Models in Tensorflow

An End-To-End, Lightweight and Flexible Platform for Game Research

A JavaScript deep learning and reinforcement learning library.

Reinforcement learning tutorials

🎮 Advanced Deep Learning and Reinforcement Learning at UCL & DeepMind | YouTube videos 👉

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

Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa

Arnold - DOOM Agent

Reason8.ai PyTorch solution for NIPS RL 2017 challenge

A reinforcement learning package for Julia

Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020

Implementation of q-learning using TensorFlow

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..

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

Learning to trade under the reinforcement learning framework

Q-Learning Based Cryptocurrency Trader and Portfolio Optimizer for the Poloniex Exchange

A curated list of artificial intelligence resources (Courses, Tools, App, Open Source Project)

Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

The notes for Math, Machine Learning, Deep Learning and Research papers.

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

Collection of stats, modeling, and data science tools in Python and R.

use AI to play some games.

Some of the ML and DL related reading materials, research papers that I've read

Deep Reinforcement Learning Framework + Algorithms

Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.

Summaries of the papers that are discussed by VLG.

Python implementations of contextual bandits algorithms

Reinforcement learning material, code and exercises for Udacity Nanodegree programs.

Paper reading notes on Deep Learning and Machine Learning

Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.

Some notebooks

ROS 2 enabled Machine Learning algorithms

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

Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'

Clone of OpenAI's Spinning Up in PyTorch

Minimalistic gridworld package for OpenAI Gym

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

Resources, papers, tutorials