322 Open source projects that are alternatives of or similar to Acer

Reinforcement learning with tensorflow 2 keras

TensorFlow implementation of Deep Reinforcement Learning papers

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

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.

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

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

PyTorch Implementation of Trust Region Policy Optimization (TRPO)

A curated list of awesome Deep Reinforcement Learning resources.

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

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

FinRL: Financial Reinforcement Learning Framework. Please star. 🔥

A collection of materials to help you learn about deep learning

Repository for codes of 'Deep Reinforcement Learning'

Attention-guided CNN for image denoising(Neural Networks,2020)

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

Pytorch Implementation of MuZero

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.

Deep Reinforcement Learning (DRL) agents applied to medical images

Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.1"

Resources, papers, tutorials

A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)

PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch

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

Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:

An independent implementation of DeepMind's AlphaGoZero in Scala, using Deeplearning4J (DL4J)

An offline deep reinforcement learning library

Highly Modular and Scalable Reinforcement Learning

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.

A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.

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

Noisy Networks for Exploration

Unity Machine Learning Agents Toolkit

文件 笔和线段的一种划分.py,只需要把k线high，low数据输入，就能自动实现笔，线段，中枢，买卖点，走势类型的划分了。可以把sh.csv 作为输入文件。个人简历见.pdf。时间的力量。有人说择时很困难，有人说选股很容易，有人说统计套利需要的IT配套设施很重要。还有人说系统有不可测原理。众说纷纭。分布式的系统，当你的影响可以被忽略，你才能实现，Jiang主席所谓之，闷声发大财。

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

31 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization

A reinforcement learning package for Julia

Teach a Quadcopter How to Fly!

An OpenAI gym wrapper for CARLA simulator

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

Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.

CSCI 599 deep learning and its applications final project

Basic versions of agents from Spinning Up in Deep RL written in PyTorch

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

"Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow

A deep reinforcement learning bot that plays tetris

Goal-Oriented Chatbot trained with Deep Reinforcement Learning

DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.

Summaries of machine learning papers

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

A high-performance Atari A3C agent in 180 lines of PyTorch

🤖 Implements of Reinforcement Learning algorithms.

Deep-Reinforcement-Learning-for-Dialogue-Generation-in-tensorflow

Code for "Gradient Surgery for Multi-Task Learning"

Modularized Implementation of Deep RL Algorithms in PyTorch

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).

Deep reinforcement learning model implementation in Tensorflow + OpenAI gym

PyTorch implementation of Soft Actor-Critic (SAC)

深度学习论文阅读路线图