Deep Reinforcement Learning | Training an AI agent to play Starcraft II
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Updated
Aug 9, 2019 - TeX
Deep Reinforcement Learning | Training an AI agent to play Starcraft II
A simple game aimed at training an artificial agent to play it considerably well.
Python code for teaching turtles how to play variations of "tag" with Deep Q-Networks.
Implement the Scripted and DQN Agents for Pysc2 BuildMarines Minigame with PyTorch
Adversarial attacks on Deep Reinforcement Learning (RL)
My on-going submission to the Kaggle HungryGeese competition where you pit your reinforcement learning agent against other competitors. https://www.kaggle.com/c/hungry-geese
AI agent game competition - Reinforcement learning (Monte Carlo Tree Search, Deep Q-learning, Minimax)
Reinforcement Learning: Q-Learning and Deep Q-Learning to train artificial agents that can play the famous game of Nim.
Deep Reinforcement Learning for Trading
DQN Atari Pong game
Reinforcement Learning Project to explore State of the Art RL algorithms and compare their performance for an Agent navigating through an environment while avoiding obstacles.
Snake game with RL
The aim of this repository is the analysis and study of computer intelligence and in-depth learning techniques in the development of intelligent gaming agents.
Graduation Project 2023, an intelligent traffic management system that combines reinforcement learning along with simulation.
A game-playing AI that uses Deep-Q Networks to play Checkers
Fine-tuning LLM agents w online RL for XiangQi (Chinese Chess)
Implementation of base DL tasks
FinSearch Research Competition
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