Gamelike car simulation playground.
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Updated
Jul 24, 2024 - Rust
Gamelike car simulation playground.
reinforcement learning for power grid optimal operations and maintenance
Researching new methods to leverage Coverage and Path Planning using DeepRL
Experimentation on Carla Simulator for running DQN RL agents for Autonomous Driving
Tic Tac Toe game, designed to be used to train a Deep Neural Network via Reinforcement Learning (DQN). It can also be played by 2 humans and features a hard coded AI that never looses and will win if you do not do perfect play against it.
Reinfocement Learning Approach to solve Shortest Path Problem.
Deep Reinforcement Learning algorithms to play Connect4 using a combination of Supervised Learning and Reinforcement Learning
Project for AI in computer games
Deep Q Network with TensorFlow, used to solve CartPole environment from Gym.
comparison of q-learning and deep q-learning
This is a chatbot that I build using ChatGPT.
Dueling DQN agents in Pong game. Pong game written by @bearpaw7
Artificial Neural Network (MLP) and Deep Q-Learning Implementation from scratch, only using numpy.
Training AI to play snake
Deep reinforcement Q learning model to find the treasure at a fixed location from a random location in a maze
Using the "Advantage Actor Critic(A2C)" Reinforcement Learning method, the 'Agent' is trained to play Atari's Breakout.
I developed and trained a deep convolutional Q-learning model to enable an agent to successfully solve the Pacman gym environment.
Deep Q-learning for playing flappy bird game
In this project, an artificial agent is trained to solve the Maze task using DQN algorithm
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