Aldo Battista's Projects
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, Ape-X DQN, DDPG, TD3, SAC)
FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks
A toolkit for developing and comparing reinforcement learning algorithms.
Keras documentation, hosted live at keras.io
A curated collection of neuroscience tasks with a common interface.
Train excitatory-inhibitory recurrent neural networks for cognitive tasks.
LSTM, RNN and GRU implementations using Pytorch
PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay
Stable-Baselines3 (SB3) reinforcement learning tutorial for the Reinforcement Learning Virtual School 2021.
Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019
An educational resource to help anyone learn deep reinforcement learning.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Model for perceptual-decision making and working memory from Wong and Wang, J. Neuroscience, 2006