7103 Open source projects that are alternatives of or similar to Deep Reinforcement Learning

A pytorch tutorial for DRL(Deep Reinforcement Learning)

Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch

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.

My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019

Machine Learning notebooks for refreshing concepts.

Highly Modular and Scalable Reinforcement Learning

TensorFlow and Deep Learning Tutorials

OpenAI's cartpole env solver.

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

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

Explorer is a PyTorch reinforcement learning framework for exploring new ideas.

FinRL: Financial Reinforcement Learning Framework. Please star. 🔥

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

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

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

Implementations of deep RL papers and random experimentation

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

Reproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).

playing idealized trading games with deep reinforcement learning

A library for ready-made reinforcement learning agents and reusable components for neat prototyping

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

Minimal and Clean Reinforcement Learning Examples

No description or website provided.

Reinforcement learning tutorials

Reason8.ai PyTorch solution for NIPS RL 2017 challenge

Lab Materials for MIT 6.S191: Introduction to Deep Learning

A course in reinforcement learning in the wild

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

Attempting to replicate "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" https://arxiv.org/abs/1706.10059 (and an openai gym environment)

DrQ: Data regularized Q

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

An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.

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

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).

Unity Machine Learning Agents Toolkit

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

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

Teach a Quadcopter How to Fly!

PyTorch implementation of Soft Actor-Critic (SAC)

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

ROS 2 enabled Machine Learning algorithms

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Reinforcement learning with A* and a deep heuristic

Combining deep learning and reinforcement learning.

PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Deep Reinforcement Learning Pong Agent, King Pong, he's the best

A simple example of how to implement vector based DQN using PyTorch and a ML-Agents environment

Deep Reinforcement Learning for Fixed-Wing Flight Control with Deep Q-Network

Reinforcement Learning for Super Mario Bros using A3C on GPU

Research into controllers for 2d and 3d Active Ragdolls (using MujocoUnity+ml_agents)

A Universal Deep Reinforcement Learning Framework

Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some explanation

No description or website provided.