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Implementing the base algorithms of Deep Reinforcement Learning in Python

Deep Reinforcement Learning dialogue agent which implements Q-Learning. Made in Python with TensorFlow.

This repository provides the python implementation for the paper "Decentralized Multi-Agent Formation Control via Deep Reinforcement Learning"

Original source code for Deep Reinforcement Learning with Python 2nd ed.

Implementing Deep Reinforcement Learning Algorithms in Python for use in the MuJoCo Physics Simulator

Using (deep) reinforcement_learning algorithm to practice on OpenAI Gym, Unity ML-Agents,and other virtual environments. Using Python ,Pytorch/Tensorflow.

This repository contains the Python implementation of our submitted paper titled "Deep Reinforcement Learning for Joint Trajectory and Communication Design in Internet of Robotic Things" .

Faithful Python implementation of the paper "Towards Deep Symbolic Reinforcement Learning" by Garnelo et al.

Python project for the paper "Adversarial Deep Reinforcement Learning for Improving the Robustness of Multi-agent Autonomous Driving Policies".

Welcome to 6.86x Machine Learning with Python–From Linear Models to Deep Learning. Machine learning methods are commonly used across engineering and sciences, from computer systems to physics. Moreover, commercial sites such as search engines, recommender systems (e.g., Netflix, Amazon), adverti... Read more