Some (not so) naive RL agents for Rung
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Updated
Jun 7, 2022 - Python
Some (not so) naive RL agents for Rung
Multi-Agent Deep Recurrent Q-Learning with Bayesian epsilon-greedy on AirSim simulator
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
Implementation of DQN, DDQN and DRQNs for Atari Games in Tensorflow. [Work in Progress]
Deep Recurrent Q-Network with different exploration strategies for self-driving cars (using AirSim)
Bi-Directional Attention Flow for Machine Comprehensions
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
Atari-DRQN (keras ver.)
Repository for codes of 'Deep Reinforcement Learning'
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
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