460 Open source projects that are alternatives of or similar to racing_dreamer

StarCraft II / PySC2 Deep Reinforcement Learning Agents (A2C)

深度学习论文阅读路线图

Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020

Cloud-native Financial Reinforcement Learning

Code repository for SARNet: Learning Multi-Agent Communication through Structured Attentive Reasoning (NeurIPS 2020)

FinRL: Financial Reinforcement Learning Framework. Please star. 🔥

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.

Self Driving Cars Longitudinal and Lateral Control Design

Deep Reinforcement Learning algorithms implemented in PyTorch

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.

Develop ultimate AI Pokémon trainer

FinRL: The first open-source project for financial reinforcement learning. Please star. 🔥

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

Autonomous Drifting using Reinforcement Learning

A Universal Deep Reinforcement Learning Framework

Distributed A3C

Reinforcement learning with tensorflow 2 keras

My notes on reinforcement learning papers

An implementation of AVP-SLAM and some new contributions

Examples

Pytorch Implementation of MuZero

Developing a deep neural network to play a snake game

Reinforcement Learning for Super Mario Bros using A3C on GPU

Pytorch code for NeurIPS-20 Paper "Object Goal Navigation using Goal-Oriented Semantic Exploration"

PyTorch Implementation of Trust Region Policy Optimization (TRPO)

Deep Reinforcement Learning Algorithms Implementation in PyTorch

source code for 'Improving automatic source code summarization via deep reinforcement learning'

Deep Reinforcement Learning applied to a modern 3D video-game environment called Delivery Duel.

Deep Reinforcement Learning (DRL) agents applied to medical images

NeurIPS 2019: DQN(λ) = Deep Q-Network + λ-returns.

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

Implementation of Deep/Double Deep/Dueling Deep Q networks for playing Atari games using Keras and OpenAI gym

TensorFlow implementation of Deep Reinforcement Learning papers

Implementation of Deep Deterministic Policy Gradients (DDPG) to teach a Quadcopter How to Fly!

A Real-Time-Strategy game for Deep Learning research

Fitness landscape exploration sandbox for biological sequence design.

Resources, papers, tutorials

Evaluating pre-trained navigation agents under corruptions

Automatic Parking is an autonomous car maneuvering system (part of ADAS) that moves a vehicle from a traffic lane into a parking spot to perform parallel parking. The automatic parking system aims to enhance the comfort and safety of driving in constrained environments where much attention and experience is required to steer the car. The parking…

Deep reinforcement learning with tensorflow2

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

Hierarchical-DQN in pytorch (not actively maintained)

In this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.

We have used Deep Reinforcement Learning and Advanced Computer Vision techniques to for the creation of Smart Traffic Signals for Indian Roads. We have created the scripts for using SUMO as our environment for deploying all our RL models.

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

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

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

Code for our CVPR-2021 paper on Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level Paintings.

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

CARMA Platform is built on robot operating system (ROS) and utilizes open source software (OSS) that enables Cooperative Driving Automation (CDA) features to allow Automated Driving Systems to interact and cooperate with infrastructure and other vehicles through communication.

ML Dataset Governance Policy for Autonomous Vehicle Datasets

Code repository for the Animal AI Olympics competition

Autonomous Driving Simulator for the Portuguese Robotics Open

AutoPentest-DRL: Automated Penetration Testing Using Deep Reinforcement Learning

🐵 An AI chess-board-game framework(by many programming languages) implementations.

No description or website provided.

We reproduced DeepMind's results and implement a meta-learning (MLSH) agent which can generalize across minigames.

A tentacle-based pathfinding library for nonholonomic robotic vehicles

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。

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).