Deep Recurrent Q-Network with different exploration strategies for self-driving cars (using AirSim)
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Updated
Mar 26, 2024 - Python
Deep Recurrent Q-Network with different exploration strategies for self-driving cars (using AirSim)
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
Some (not so) naive RL agents for Rung
Multi-Agent Deep Recurrent Q-Learning with Bayesian epsilon-greedy on AirSim simulator
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 reinforcement learning for resource managment and job schedule. it is inspired by deeprm model and I will implement for in practical docker environment.
Deep Recurrent Q-Learning vs Deep Q Learning on a simple Partially Observable Markov Decision Process with Minecraft
Implementation of DQN, DDQN and DRQNs for Atari Games in Tensorflow. [Work in Progress]
Atari-DRQN (keras ver.)
Bi-Directional Attention Flow for Machine Comprehensions
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