Topic: double-deep-q-learning Goto Github
Some thing interesting about double-deep-q-learning
Some thing interesting about double-deep-q-learning
double-deep-q-learning,The following project concerns the development of an intelligent agent for the famous game produced by Nintendo Super Mario Bros. More in detail: the goal of this project was to design, implement and train an agent with the Q-learning reinforcement learning algorithm.
User: alberto-00
double-deep-q-learning,Play Super Mario Bros Game using Double Deep Q Network implemented in PyTorch.
User: aniruddhapal211316
double-deep-q-learning,This project is a Double Deep Q learning Agent that learns to play the dice game Yahtzee
User: byrnesy924
double-deep-q-learning,Model-free, off-policy reinforcement learning with DQN's on Gym's environments
User: ethan-keller
double-deep-q-learning,Implementation of the Double Deep Q-Learning algorithm with a prioritized experience replay memory to train an agent to play the minichess variante Gardner Chess
User: flowun
double-deep-q-learning,Learning Mario Agent with the Double Deep Q-Learning Algorithm in the Gym Super Mario Environment.
User: iishreya
double-deep-q-learning,Undergraduate Dissertation (University of Malta) 2020-2023 - 'Autonomous Drone Control using Reinforcement Learning''
User: kparnis3
double-deep-q-learning,Double deep q network implementation in OpenAI Gym's "Mountain Car" environment
User: mehrabkalantary
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