812 Open source projects that are alternatives of or similar to Deeprl Tensorflow2

TensorFlow A2C to solve Acrobot, with synchronized parallel environments

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

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

Live Trading. Please star.

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

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

Lightweight deep RL Libraray for continuous control.

A3C LSTM Atari with Pytorch plus A3G design

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

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

Tensorforce: a TensorFlow library for applied reinforcement learning

PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

My Solution to Assignments of CS234

My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019

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

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

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

Curated list for Deep Reinforcement Learning (DRL): software frameworks, models, datasets, gyms, baselines...

강화학습에 대한 기본적인 알고리즘 구현

Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.

Autonomous Drifting using Reinforcement Learning

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

xingtian is a componentized library for the development and verification of reinforcement learning algorithms

OpenAI's cartpole env solver.

DrQ: Data regularized Q

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

Master Thesis: Limit order placement with Reinforcement Learning

Reinforcement learning models in ViZDoom environment

Grokking Deep Reinforcement Learning

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

Deep Reinforcement Learning (DRL) agents applied to medical images

Resources, papers, tutorials

AI for Snake game trained from pixels using Deep Reinforcement Learning (DQN).

PyTorch implementations of Deep Reinforcement Learning algorithms (DQN, DDQN, A2C, VPG, TRPO, PPO, DDPG, TD3, SAC, SAC-AEA)

Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatible.

Implementation of the paper "Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning"

This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.

Teach a Quadcopter How to Fly!

Unity Machine Learning Agents Toolkit

Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras

AI斗地主

Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

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

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

AI research environment for the Atari 2600 games 🤖.

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

Reinforcement Learning for WeChat Jump

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

A PyTorch implementation of Rainbow DQN agent

PyTorch implementation of Soft Actor-Critic (SAC)

Tensorflow implementation of generative adversarial imitation learning

The Retro Learning Environment (RLE) -- a learning framework for AI

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

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

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign

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