645 Open source projects that are alternatives of or similar to Phd Bibliography

Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"

A selection of state-of-the-art research materials on decision making and motion planning.

A light-weight, Eigen-based C++ library for trajectory optimization for legged robots.

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

The Robotics Library (RL) is a self-contained C++ library for rigid body kinematics and dynamics, motion planning, and control.

Dynamics and Domain Randomized Gait Modulation with Bezier Curves for Sim-to-Real Legged Locomotion.

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

Deep Q-learning for playing flappy bird game

Open Machine Learning course at MIPT

Poker engine for poker AI development in Python

Python library for Reinforcement Learning.

Self-driving car simulator for the Duckietown universe

Learning to trade under the reinforcement learning framework

A JavaScript deep learning and reinforcement learning library.

My Exploration on Deep Reinforcement Learning Survey

Obstacle Tower Environment

Teach-Repeat-Replan: A Complete and Robust System for Aggressive Flight in Complex Environments

Arnold - DOOM Agent

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

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

Reinforcement learning with unsupervised auxiliary tasks

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

Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.

A3C LSTM Atari with Pytorch plus A3G design

Robotics Toolbox for Python

Fast and smart citation reference parsing

In this paper, we implement three state-of-art continuous reinforcement learning algorithms, Deep Deterministic Policy Gradient (DDPG), Proximal Policy Optimization (PPO) and Policy Gradient (PG)in portfolio management.

A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives

A course in reinforcement learning in the wild

A PyTorch library for building deep reinforcement learning agents.

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

use AI to play some games.

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

Deep Reinforcement Learning Framework + Algorithms

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!

A Configurable Recommender Systems Simulation Platform

无人驾驶相关论文速递

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。

Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch

Quiz & Assignment of Coursera

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

Monthly Series - Top 10 Machine Learning Articles

Python implementations of contextual bandits algorithms

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

Paper reading notes on Deep Learning and Machine Learning

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

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

Central repository for tools, tutorials, resources, and documentation for robotics simulation in Unity.

Repo for the Deep Reinforcement Learning Nanodegree program

Hearthstone simulator using C++ with some reinforcement learning

Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

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..

HoME: a Household Multimodal Environment is a platform for artificial agents to learn from vision, audio, semantics, physics, and interaction with objects and other agents, all within a realistic context.

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

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

g2core - The Next Generation

Implementations of selected inverse reinforcement learning algorithms.

StarCraft environment for OpenAI Gym, based on Facebook's TorchCraft. (In progress)

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