Reinforcement learning tutorials

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

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)

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

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

Lunar Lander envitoment of gymnasium solved using Double DQN and D3QN

A deep reinforcement learning project built with PyTorch and Gymnasium, featuring a custom VastSpaceLander environment and a Dueling Double DQN agent for fuel-efficient, high-precision landing under extreme gravity conditions.

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

Beautiful modular D3QN research pipeline with training, ablations, plots, report, and packaging

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

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

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

Lunar Lander envitoment of gymnasium solved using DQN and D3QN

Repository contains codes for the course CS780: Deep Reinforcement Learning

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

This is D3QN implementation for simple environment

Arkanoid with Deep Q-Learning using TensorFlow.js.

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

A project to classification.