Unsupervised Domain Adaptation Papers and Code

Code for "Benchmarking Classic and Learned Navigation in Complex 3D Environments" paper

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

Deep Neuroevolution

Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow

Dancing Robotics Platform

Ewok: Real-Time Trajectory Replanning for MAVs using Uniform B-splines and 3D Circular Buffer

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Python sample codes and textbook for robotics algorithms.

A collection of algorithms used for any-angle pathfinding with visualisations.

A basic implementation of the D* lite algorithm

Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.

Tensorflow implementation of "The Predictron: End-To-End Learning and Planning"

Implementation of various generative deep model using tensorflow

Code for the paper Dronet: Learning to Fly by Driving

Dynamic Rapidly-Exploring Random Trees (RRTx)

D* Lite algorithm for partially known environments.

ROS node for global path planning using D*-lite on a 2D or 3D grid.

Hierarchical D* Lite: A real-time 3D path planning algorithm

Hybrid A* Path Planner for the KTH Research Concept Vehicle

MATLAB simulation for the paper 'Minimum snap trajectory generation and control for quadrotors

easy sample code for minimum snap trajectory planning in MATLAB

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville