danielcoelho112 Goto Github PK

a3c-pytorch

Implementation of Asynchronous Advantage Actor-critic (A3C) using PyTorch. Paper: Asynchronous Methods for Deep Reinforcement Learning

advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

bet_bot_ai

carla_env

Simple Carla environment to train Reinforcement Learning agents

cnn_lstm

CNN followed by LSTM

cnn_multiple_output_regression_driving

A CNN (Convolutional Neural Network) with multiple output regression for autonomous driving.

ddpg-pytorch

Implementation of Deep Deterministic Policy Gradient (DDPG) using PyTorch. Paper: Continuous Control With Deep Reinforcement Learning

deep-reinforcement-learning-hands-on-second-edition

Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt

eeg-notebooks

A collection of classic EEG experiments implemented with Python and Jupyter notebooks

googlenet_pytorch

hands-on-reinforcement-learning-with-python

Hands-On Reinforcement Learning with Python, published by Packt

machine_learning_examples

A collection of machine learning examples and tutorials.

master_thesis_document

mmtbot

oop

pari_2020

phd_blog

ppo-pytorch

Implementation of Proximal Policy Optimization (PPO) using PyTorch. Paper: Proximal Policy Optimization Algorithms

psr_21-22

Programming of Robotics Systems course at the University of Aveiro, Portugal, 2021-2022.

rlad

RLAD: Reinforcement Learning from Pixels for Autonomous Driving in Urban Environments. IEEE Transactions on Automation Science and Engineering

rlfold

RLfOLD: Reinforcement Learning from Online Demonstrations in Urban Autonomous Driving. AAAI 2024

sac-pytorch

Implementation of Soft Actor-Critic (SAC) using PyTorch. Paper: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

selected_points_publisher

An RViz plugin to select and publish points from a point cloud.

synfeal

Synfeal: A Data-Driven Simulator for Camera Localization

td3-pytorch

Implementation of Twin Delayed Deep Deterministic Policy Gradients (TD3) using PyTorch. Paper: Addressing Function Approximation Error in Actor-Critic Methods

trabalhofinal_tac_sfp

trabalhori

transformers-pytorch