Final project in ELE680 Deep Neural Networks at UiS, University of Stavanger. Comparison of DQN and Double-DQN.
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Updated
Jan 4, 2023 - Python
Final project in ELE680 Deep Neural Networks at UiS, University of Stavanger. Comparison of DQN and Double-DQN.
4th Year Project: 'Reinforcement Learning for Automation' with supervisor Dr. Sumeetpal Singh
reinforcement learning Double Deep Q Learning (DDQN) method to solve OpenAi Gym "LunarLander-v2" by usnig Double Deep NeuralNetworks
Implementation of Trust Region Policy Optimization and Proximal Policy Optimization algorithms on the objective of Robot Walk.
Small minimum size gym environments for testing (and maybe finding edge cases)
Implementation of RL Algorithms with PyTorch.
Deep Reinforcement Learning agent playing Space Invaders
Library for running multiple experiments on configurable custom environments using RLpyt
Gym environments for playing soccer
Gym Interface Wrapper for Simulink Models
Relentlessly learning, persistently failing, but never surrendering.
A custom implementation of DeepMind's "the commons game"
A collection of useful environments for testing Reinforcement Learning algorithms. Designed (mostly) with discrete, graph-based methods in mind.
A set of practical examples showcasing the use of gymnasium environments in the ros-gazebo-gym package.
C++ implementation of the continuous LunarLander environment.
OpenAI Gym environment for the classic Nintendo game Duck Hunt.
Custom environment for OpenAI gym
EATED 2018 DQN을 이용한 고전게임 강화학습
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