Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

Reinforcement learning tutorials

A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning (DRL) for Mobile Edge Computing (MEC) | This algorithm captures the dynamics of the MEC environment by integrating the Dueling Double Deep Q-Network (D3QN) model with Long Short-Term Memory (LSTM) networks.

OpenAI LunarLander-v2 DeepRL-based solutions (DQN, DuelingDQN, D3QN)

OpenAI MountainCar-v0 DeepRL-based solutions (DQN, DuelingDQN, D3QN)

Collection of my Reinforcement Learning (RL) practices including DQN, D3QN, and Adaptive Gamma, applied to the Lunar Lander and CartPole environments. 🚀🕹️

A Complete Collection of Deep RL Famous Algorithms implemented in Gymnasium most Popular environments

Lunar Lander envitoment of gymnasium solved using Double DQN and D3QN

Atari OpenAI Pong-v4 DeepRL-based solutions (DQN, DuelingDQN, D3QN)

OpenAI CartPole-v0 DeepRL-based solutions (DQN, DuelingDQN, D3QN)

Lunar Lander envitoment of gymnasium solved using DQN and D3QN

Reinforcement Learning Demo: DQN with D3QN and DDPG with TD3 PyTorch re-implementation on Atari and MuJoCo

This is a Deep Reinforcement Learning solution for the Lunar Lander problem in OpenAI Gym using dueling network architecture and the double DQN algorithm.

This is D3QN implementation for simple environment

My first project (and also Bachelor's thesis project) on Deep Reinforcement Learning for Portfolio Optimization

Arkanoid with Deep Q-Learning using TensorFlow.js.

Repository contains codes for the course CS780: Deep Reinforcement Learning

Toy Model implemention to train a Reinforcement Learning Agent for Within Visual Range (WVR) aerial combat.