Modularized Implementation of Deep RL Algorithms in PyTorch

Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

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🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

Attempting to replicate "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" https://arxiv.org/abs/1706.10059 (and an openai gym environment)

multi-agent deep reinforcement learning for networked system control.

multi-agent deep reinforcement learning for large-scale traffic signal control.

DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

Deep RL algorithm in pytorch

From search engines, to science, to robotics, this reposity is meant to showcase the use of reinforcement learning in the world..

Train an RL agent to execute natural language instructions in a 3D Environment (PyTorch)

Code for the paper "Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning" http://arxiv.org/abs/1603.07954

Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.

LauzHack Deep Learning Bootcamp

Deep Reinforcement Learning Based Dynamic Resource Allocation in 5G Ultra-Dense Networks

Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)

deep reinforcement learning for personal research

Integrating Deep Reinforcement Learning with Path planning for Automated Driving

homework answer for UCB cs285 deepRL

Variational Quantum Circuits for Deep Reinforcement Learning since 2019. Xanadu Quantum Software Competition 1st Prize 2019.

A PyTorch based DeepRL framework to train and study artificial species in bio-inspired environments.

Deep reinforcement learning on NVIDIA Jetson tx2 with PyTorch, OpenAI Gym, and Gazebo robotics simulator.

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Deep Reinforcement Learning applied to robotic arm

Deep reinforcement learning. In scikit-learn. In less than 50 effective lines.

Adaptive tuning of an aircraft pitch PID controller with Deep Reinforcement Learning Algorithm

Project 3 of Udacity's Deep Reinforcement Learning nanodegree program.