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
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
A custom implementation of DeepMind's "the commons game"
Implementation of Q-Learning, SARSA, and Dyna Q to allow an agent to navigate the FrozenLake-v0 environment from OpenAI.
A set of practical examples showcasing the use of gymnasium environments in the ros-gazebo-gym package.
A collection of useful environments for testing Reinforcement Learning algorithms. Designed (mostly) with discrete, graph-based methods in mind.
OpenAI Gym environment for the classic Nintendo game Duck Hunt.
Custom environment for OpenAI gym
This fork adds multi-agent social dilemma environments in Gym: CoinGame, (Iterated) Prisonner Dilemma, Stag Hunt, Chicken, Matching Pennies. Gym: A toolkit for developing and comparing reinforcement learning algorithms.
Repository for the course project done as part of CS-747 (Foundations of Intelligent & Learning Agents) course at IIT Bombay in Autumn 2022.
AI Models Trained on Game Data
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