Simple pytorch implementations of RL algorithms

Labs for the Robot Learning class, focusing on robotics and Reinforcement Learning. Each lab focuses on a different topic, had mandatory tasks and eventually extensions. All the results have been discussed in the reports.

Autonomous Driving W/ Deep Reinforcement Learning in Lane Keeping - DDQN and SAC with kinematics/birdview-images

Pytorch Implementation of TD3 and SAC algorithms on Mujoco Models

Documentation and implementation of a Reinforcement Learning approach designed to automate inverse kinematics for manipulation tasks involving the arms of SoftBank Robotics' Pepper robot.

A general deep reinforcement learning frames for atari games by pytorch.

AI Course Project 14032 - Dr. TanGhatari

⌨️ The SaC programming language IDE submodule for SNU Programming Tools (2D Mode)

A simple calculator widget for SAP Analytics Cloud

Implementation of all RL algorithms in a simpler way

💅💄 Sistema de Atendimento ao Cliente da empresa BEIBE

Funções de Sistemas de Financiamento comparação Gráfica - SAC, PRICE, SAA - Matplotlib

🚤🏖️BOATS DO VZHHHHH BBBDROOM, BEEEEP, BEEEP, GNAA, HONK, VZHHHHHHHHHHHHHH🏖️🚤

Bipedal Walker agent trained using SAC model on OpenAI Gym Environment.

Study Model-Based Policy Optimization by varying the model estimator classes (e.g Decision Trees vs MLP)

PyTorch implementations for deep and classical rl algorithms

PyTorch implementation of SAC (Soft Actor-Critic)

Yet another deep reinforcement learning

Multi-Discrete Soft Actor Critic implementation on Unity's procedurally generated Obstacle Tower Environment.

Reinforcement learning agents (TD3 & SAC) for AirHockey, exploring the impact of policy noise, delay, and other training variations.