A Torch Based RL Framework for Rapid Prototyping of Research Papers

Custom implementations of RL algorithms that can solve complex tasks like Atari games

This repository hosts Jupyter notebooks showcasing the training of Atari games using a variety of Deep Reinforcement Learning (RL) algorithms such as Proximal Policy Optimization (PPO), Deep Deterministic Policy Gradient (DDPG), Deep Q-Networks (DQN), Advantage Actor-Critic (A2C), and more.

Reinforcement learning on 2D video game

Four python code files experimenting with reinforcement learning

CartPole v1 of gymnasium library solved using two Reinforcement learning algorithms(DQN and SARSA) with two policies (epsilon-greedy and Boltzmann), with results.

Collection of Reinforcement Learning models for training in the VizDoom and CartPole environments. Developed by Group 2 for the University of Bath's CM50270 module, exploring advanced strategies for models navigating complex situations.

This project is a pipeline that connects a Matlab simulation (Simulink) to an OpenAI Gym wrapper for PyTorch Reinforcement Learning using the DQN algorithm.

Implementing DeepQNetwork and Q learning on gymnasium CartPole-V1 env.

Repository contains codes for the course CS780: Deep Reinforcement Learning

Reinforcement Learning Implementations in PyTorch

Gymnasium environment based on real room and robot

A PyTorch library for building deep reinforcement learning agents.

Implementación de un agente de aprendizaje por refuerzo con Redes Neuronales Profundas (DQN) para jugar Super Mario, con hiperparámetros personalizables y características como buffer de repetición y política epsilon-greedy.

This code is the result of the collaboration of RL Turkey team.

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

minor upgrade for ttb3 from melodic to noetic with pytorch

Deep Reinforcement Learning

Iterative Prisoner Dilemma - Tournament of 20+ classic strategies and an ML player built with DQN

Implementation of DQN Network in ABB YuMi Manipulator to do planar pushing under external perturbance.