Gamelike car simulation playground.

A powerful machine learning algorithm utilizing Q-Learning and Neural Networks, implemented using Torch and Lua.

An RL model that uses double deep Q learning to generate an optimal policy of stock market trades

Implementation of the Deep Q-learning algorithm to solve MDPs

reinforcement learning for power grid optimal operations and maintenance

Deep Q Learning playing breakout on OpenGym

Julia implementation of DeepMind's Deep Q Learning algorithm described in "Playing Atari with Deep Reinforcement Learning"

Researching new methods to leverage DeepRL for Coverage and Path Planning

Experimentation on Carla Simulator for running DQN RL agents for Autonomous Driving

A DeepQLearging AI playing Gomoku

small experiments with agents learning atari games, implemented in jax/numpy

Simulating a Self-Driving Car in Unreal Engine using Reinforcement Learning

Training an RL agent to swim at low Reynolds Number environments with DeepQLearning and experience replay

An implementation of DQN algorithm for a few toy examples

Deep Q Learning applied to the CartPole V1 challenge by OpenAI. The problem is solved both in the naive and the vision scenarios, the latter by exploiting game frames and CNN.

This repo is to support the claims of the paper entitled "Reinforcement Learning for Motion Policies in Relay Networks" published in TSP in 2022(Pytorch).

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.

Implementation of Deep Mind's Paper titled: "Human Level Control through Deep Reinforcement Learning"

Implementation of Reinforcement Learning Algorithms(Q-Learning and DeepQLearning) on Open-AI Gym Environments

Evaluation of the Deep Q algorithm on physics simulations.

An implementaion of Deep Q Learning applied in self-driving car

A PyTorch model that learns to play Atari games.

No description available

Applying deep q learning on different tasks

3rd year Computer Science Project: Reinforcement Learning applied to the card game Hearts

Implementation of a Deep Q Network (DQN) and AI Agent trained on Space Invaders

In this repository I implement the Deep Q algorithm to solve the FrozenLake environment.

Reinfocement Learning Approach to solve Shortest Path Problem.

Deep Reinforcement Learning algorithms to play Connect4 using a combination of Supervised Learning and Reinforcement Learning

No description available