Deep Learning and Reinforcement Learning in Algorithmic Trading
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Updated
Oct 29, 2024 - Jupyter Notebook
Deep Learning and Reinforcement Learning in Algorithmic Trading
FinSearch Research Competition
Implementation of base DL tasks
Fine-tuning LLM agents w online RL for XiangQi (Chinese Chess)
A game-playing AI that uses Deep-Q Networks to play Checkers
Graduation Project 2023, an intelligent traffic management system that combines reinforcement learning along with simulation.
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.
Snake game with RL
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.
DQN Atari Pong game
Deep Reinforcement Learning for Trading
Reinforcement Learning: Q-Learning and Deep Q-Learning to train artificial agents that can play the famous game of Nim.
AI agent game competition - Reinforcement learning (Monte Carlo Tree Search, Deep Q-learning, Minimax)
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
Adversarial attacks on Deep Reinforcement Learning (RL)
Implement the Scripted and DQN Agents for Pysc2 BuildMarines Minigame with PyTorch
Python code for teaching turtles how to play variations of "tag" with Deep Q-Networks.
A simple game aimed at training an artificial agent to play it considerably well.
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