Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
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Updated
May 19, 2021 - Jupyter Notebook
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.
Multi-Agent Deep Recurrent Q-Learning with Bayesian epsilon-greedy on AirSim simulator
Bi-Directional Attention Flow for Machine Comprehensions
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
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