396 Open source projects that are alternatives of or similar to Deer

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

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..

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

A course on Deep Reinforcement Learning in Computer Vision. Visit Website:

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

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 …

Minimal and Clean Reinforcement Learning Examples

Lightweight deep RL Libraray for continuous control.

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

A curated list of Monte Carlo tree search papers with implementations.

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

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

PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.

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

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

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

Play Google Chrome's T-rex game with TensorFlow

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

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.

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.

playing idealized trading games with deep reinforcement learning

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

Combining deep learning and reinforcement learning.

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

A deep reinforcement learning bot that plays tetris

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

Reinforcement Learning Demos

Highly Modular and Scalable Reinforcement Learning

Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework

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

Implementations of Reinforcement Learning Models in Tensorflow

Mxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPO

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

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Playing Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

TensorFlow A2C to solve Acrobot, with synchronized parallel environments

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

No description or website provided.

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

Grokking Deep Reinforcement Learning

PyTorch implementation of Trust Region Policy Optimization

Hierarchical Object Detection with Deep Reinforcement Learning

Reinforcement Learning for Portfolio Management

PyTorch implementation of soft actor critic

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

Multiple implementations for abstractive text summurization , using google colab

Accompanying code for Paperspace tutorial "Build an AI to play Dino Run"

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

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

Structural implementation of RL key algorithms

[파이썬과 케라스로 배우는 강화학습] 예제

A deep learning library to provide algs in pure Numpy or Tensorflow.

TensorFlow2 Reinforcement Learning

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

Stock Trading Bot using Deep Q-Learning