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

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Repository for codes of 'Deep Reinforcement Learning'

Deep Recurrent Q-Learning vs Deep Q Learning on a simple Partially Observable Markov Decision Process with Minecraft

Atari-DRQN (keras ver.)

Deep reinforcement learning for resource managment and job schedule. it is inspired by deeprm model and I will implement for in practical docker environment.

Bi-Directional Attention Flow for Machine Comprehensions

Multi-Agent Deep Recurrent Q-Learning with Bayesian epsilon-greedy on AirSim simulator

Deep Recurrent Q-Network with different exploration strategies for self-driving cars (using AirSim)

Some (not so) naive RL agents for Rung

Implementation of DQN, DDQN and DRQNs for Atari Games in Tensorflow. [Work in Progress]

Implementation of Deep Recurrent Q-Networks for Partially Observable environment setting in Tensorflow

Course Project - Advanced Topics in Machine Learning - Autumn Semester 2023 - Indian Institute of Technology Bombay