Implement Deep Q-network for Omni Robot for moving to the target position on ROS.
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Updated
Nov 18, 2021 - Python
Implement Deep Q-network for Omni Robot for moving to the target position on ROS.
Double DQN on custom environment using PyGame
Final project in ELE680 Deep Neural Networks at UiS, University of Stavanger. Comparison of DQN and Double-DQN.
Population Based Training of neural networks for multiagent environments
Reinforcement Learning to manage the Logistics and resources of a warehouse.
This is a TensorFlow implementation for an agent that learns to play score 4 with Reinforcement learning. The Q-function is approximated with a DQN.
Implement Q-Learning and DQN algorithms to solve FrozenLake problem.
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This repository contains the implementation of a DQN agent with a camera and collision sensor for navigating a map autonomously.
Used Vizdoom API to train AI-Bot using DQN, DRQN and add a lot of improvements fixed-Q, Dueling, Prioritzing to maximize K/D of Bot.
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