Name: Fournier Pierre
Type: User
Company: Institut des Systèmes Intelligents et de la Robotique, UPMC
Bio: PhD candidate in Computer Science/Human Robot Interaction, with a focus on how to guide artificial agents exploring environments through attention synchrony.
Location: Paris
Fournier Pierre's Projects
Accompanying repository for Let's make a DQN / A3C series.
Ateliers de Recherche Encadrée DYNAMIC&GRAVITE
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Road network extraction from satellite imagery, with speed and travel time estimates
An implementation of the Deep Deterministic Policy Gradient (DDPG) algorithm using Keras/Tensorflow with the robot simulated using ROS/Gazebo/MoveIt!
Collection of Deep Reinforcement Learning algorithms
PyTorch implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
The DeepMind Control Suite and Package
An autonomous exploration library
PyTorch implementation of Foveation for Segmentation of Ultra-High Resolution Images
A toolkit for developing and comparing reinforcement learning algorithms.
Half Field Offense in Robocup 2D Soccer
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
Deep Reinforcement Learning for Keras.
Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch]