This project uses deep RL to train an agent that can play Atari game named Space Invaders.
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Updated
Jun 27, 2022 - Jupyter Notebook
This project uses deep RL to train an agent that can play Atari game named Space Invaders.
Basic code for reinforcement learning and small programs.
This repo contains lessons, notes, assignments and a final project from the reinforcement learning lesson at the ozyegin university.
Experiments on Breakout game applying Reinforcement Learning techniques
Deep Reinforcement Learning using pytorch - Bananas
Training PPO with DQN as a critic
Project 1 of Udacity Deep Reinforcement Learning Nanodegree
The project implements a reinforcement learning agent that can play the Space Invaders Atari game. I compare the performance of the agent using Double Deep Q-Learning with simple Deep Q-Learning.
This project provides a comprehensive understanding of reinforcement learning, focusing on Deep Q-Learning (DQN). It involves exploring the OpenAI Gym library, implementing DQN from DeepMind's seminal paper, and enhancing the DQN algorithm for improved performance and stability.
Self-learned Intelligent Agent in StarCraft II using Deep Reinforcement Learning with Imitation Learning
GitHub repo for first project in DRL Udacity nanodegree.
Dueling Network Architecture Implementation for Deep Reinforcement Learning
RL-based agent for playing Atari Pong
Prioritized DDQN example with ReLAx
Applying reinforcement Learning in Super-Mario
Double DQN on custom environment using PyGame
AI Flappy Bird Game Solved using Deep Q-Learning and Double Deep Q-Learning
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