675 Open source projects that are alternatives of or similar to Highway Env

PGDrive: an open-ended driving simulator with infinite scenes from procedural generation

A deep neural network that learns to drive in video games

AutoKernel 是一个简单易用，低门槛的自动算子优化工具，提高深度学习算法部署效率。

A JavaScript deep learning and reinforcement learning library.

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

Lightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch.

A curated list of awesome links and software libraries that are useful for robots.

Computational framework for reinforcement learning in traffic control

Guided Policy Search

Arnold - DOOM Agent

Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.

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

Software for the AutoRally platform

Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.

A selection of state-of-the-art research materials on trajectory prediction

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Asynchronous Methods for Deep Reinforcement Learning

A course in reinforcement learning in the wild

Summary of deep learning models for dialog systems (Tiancheng Zhao LTI, CMU)

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

Code repository for the Animal AI Olympics competition

Quiz & Assignment of Coursera

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Implementations of selected inverse reinforcement learning algorithms.

Python library for Reinforcement Learning.

SMAC: The StarCraft Multi-Agent Challenge

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

Reversi reinforcement learning by AlphaGo Zero methods.

Hearthstone simulator using C++ with some reinforcement learning

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

A C++ framework for MDPs and POMDPs with Python bindings

A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.

Obstacle Tower Environment

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

Open Machine Learning course at MIPT

Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"

A3C LSTM Atari with Pytorch plus A3G design

Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.

Implementations of Reinforcement Learning Models in Tensorflow

Deep Reinforcement Learning for Keras.

Real-time Joint Semantic Reasoning for Autonomous Driving

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

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper

A Configurable Recommender Systems Simulation Platform

Implement AlphaZero/AlphaGo Zero methods on Chinese chess.

A list of references on lidar point cloud processing for autonomous driving

The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.

S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain

References on Optimal Control, Reinforcement Learning and Motion Planning

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..

Collections of Apollo Platform Software

Learning to trade under the reinforcement learning framework

Monthly Series - Top 10 Machine Learning Articles

Gibson Environments: Real-World Perception for Embodied Agents

My Reading Lists of Deep Learning and Natural Language Processing

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.