Daniel Coelho's Projects
Implementation of Asynchronous Advantage Actor-critic (A3C) using PyTorch. Paper: Asynchronous Methods for Deep Reinforcement Learning
Advanced Deep Learning with Keras, published by Packt
Simple Carla environment to train Reinforcement Learning agents
CNN followed by LSTM
A CNN (Convolutional Neural Network) with multiple output regression for autonomous driving.
Implementation of Deep Deterministic Policy Gradient (DDPG) using PyTorch. Paper: Continuous Control With Deep Reinforcement Learning
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
A collection of classic EEG experiments implemented with Python and Jupyter notebooks
Hands-On Reinforcement Learning with Python, published by Packt
A collection of machine learning examples and tutorials.
Implementation of Proximal Policy Optimization (PPO) using PyTorch. Paper: Proximal Policy Optimization Algorithms
PRIBOOT: A New Data-Driven Expert for Improved Driving Simulations
Programming of Robotics Systems course at the University of Aveiro, Portugal, 2021-2022.
RLAD: Reinforcement Learning from Pixels for Autonomous Driving in Urban Environments. IEEE Transactions on Automation Science and Engineering
RLfOLD: Reinforcement Learning from Online Demonstrations in Urban Autonomous Driving. AAAI 2024
Implementation of Soft Actor-Critic (SAC) using PyTorch. Paper: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
An RViz plugin to select and publish points from a point cloud.
Synfeal: A Data-Driven Simulator for Camera Localization
Implementation of Twin Delayed Deep Deterministic Policy Gradients (TD3) using PyTorch. Paper: Addressing Function Approximation Error in Actor-Critic Methods