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drl_project

Automous driving behavior at intersections with simulaor Gazebo for course Deep Reinforcement Learning

drl_uav

Deep reinforcement learning for UAV in Gazebo simulation environment

drlnd_p2_continuous_control

Udacity DRLND P2 Continuous Control

dsnd_term2

Contains files related to content and project of DSND Term 2

end-to-end

Presentation on End-to-End Training of Deep Visuomotor Policies

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

examples-1

TensorFlow examples

fast-and-accurate-deep-neural-network-learning-by-elus

• Trained the network for MNIST dataset • Implemented neural network on MNIST dataset by using Sigmoid, ReLU, ELU as the activation function. • Analyzed network’s running time, error rate, efficiency and accuracy.

fastdql

Fast Deep-Q learning agent. One header DQN agent file.

flobotics_tensorflow_controller

gazebo-drl

Deep Reinforcement Learning on simple Gazebo worlds. Wrapped in a "gym like" manner, inspired on the gym-gazebo branch.

gazebo_python_examples

gazebo_ros_pkgs

Wrappers, tools and additional API's for using ROS with Gazebo

gazebodomainrandom

Implementation of some Domain Randomization tools within the ROS+Gazebo framework, following the work of Tobin et al. "Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real Worl" (https://arxiv.org/abs/1703.06907)

gdrl

Code to go along with the Grokking Deep Reinforcement Learning book

generalization-of-neural-network

Neural network with variable number of layers and nodes without using any neural network library

gps

Guided Policy Search

gym-adv

Gym environments modified with adversarial agents

gym-gazebo

A toolkit for developing and comparing reinforcement learning algorithms using ROS and Gazebo.

hacker_rank_solutions_cplusplus_

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hierarchical-deep-rl

Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation

human-level-control

Presentation on Human-Level Control Through Deep Reinforcement Learning

imitation-dagger

An implementation of DAGGER using ConvNets for driving from pixels.

interviews

Everything you need to know to get the job.

introduction-to-algorithms-solutions

:notebook:Solutions to Introduction to Algorithms

jetson-reinforcement

Deep reinforcement learning GPU libraries for NVIDIA Jetson with PyTorch, OpenAI Gym, and Gazebo robotics simulator.

juno

Tic-Tac-Toe agent trained by Deep Reinforcement Learning

keras-data-generator

Template for data generator in Keras

keras-reinforcement-learning-projects

Keras Reinforcement Learning Projects published by Packt