Comparing DQN , Double-DQN , Bootstrapped-DQN in Hungry-Geese env from kaggle
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Updated
Nov 25, 2022 - Jupyter Notebook
Comparing DQN , Double-DQN , Bootstrapped-DQN in Hungry-Geese env from kaggle
Iterative Prisoner Dilemma - Tournament of 20+ classic strategies and an ML player built with DQN in Javascript
Implement Deep Q-network for Omni Robot for moving to the target position on ROS.
Python + TensorFlow implementation of Deepmind DQN (on-going).
Deep Reinforcement Learning methods on Lunar Lander from OpenAI Gym.
EATED 2018 DQN을 이용한 고전게임 강화학습
Lunar Lander solved with DQN [SPANISH]
Double DQN on custom environment using PyGame
AI projects and some algorithms. If you are seeing this please take care of the path in the code
Final project in ELE680 Deep Neural Networks at UiS, University of Stavanger. Comparison of DQN and Double-DQN.
This repository demonstrates solving a reinforcement learning challenge using the lunar lander simulation from Python's gym module, implemented with Python and TensorFlow. It offers a hands-on example of applying reinforcement learning techniques to a complex game scenario, providing insights into AI-based strategy development.
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.
Deep DQN model for optimizing Cabdriver choosing better request for more profit
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