Pinned Repositories
bomberman_rl
book-store-reply-challenge
DataMiningNotebooks
DM-twitter-dataset-analysis
HLT-CommonLitChallenge
masters-degree-thesis-rl-skilled-agent
We introduce Weight Sharing Attention to improve state representation in Reinforcement Learning. By combining embeddings from different Foundational Models, WSA enhances learning efficiency. Tested on Atari games, it performs on par with advanced methods and addresses issues like out-of-distribution data.
medium-articles
A collection of Medium Articles
Pattern-Recognition
SPM-parallel-jacobi
thesis-anomaly-detection-esn
In this paper, we propose the use of Echo State Networks, for anomaly detection on-the-edge in aerospace applications. The anomaly detection method uses a nonparametric dynamic threshold to detect anomalous behaviours from the observed data by comparing it to the model's predictions.
Sopralapanca's Repositories
Sopralapanca/DM-twitter-dataset-analysis
Sopralapanca/Pattern-Recognition
Sopralapanca/thesis-anomaly-detection-esn
In this paper, we propose the use of Echo State Networks, for anomaly detection on-the-edge in aerospace applications. The anomaly detection method uses a nonparametric dynamic threshold to detect anomalous behaviours from the observed data by comparing it to the model's predictions.
Sopralapanca/DataMiningNotebooks
Sopralapanca/medium-articles
A collection of Medium Articles
Sopralapanca/SPM-parallel-jacobi
Sopralapanca/bomberman_rl
Sopralapanca/book-store-reply-challenge
Sopralapanca/CHL-clinical-data-encoder
The project consists in building a Transformer Encoder to predict deaths from cardiovascular diseases. An important part is to exploit missing values in order not to lose data information. Data augmentation is performed by adding missing values and noise to training records.
Sopralapanca/DeepRC-TF
Sopralapanca/HLT-CommonLitChallenge
Sopralapanca/leet-code-puzzles
A collection of leet code problems with my solution
Sopralapanca/masters-degree-thesis-rl-skilled-agent
We introduce Weight Sharing Attention to improve state representation in Reinforcement Learning. By combining embeddings from different Foundational Models, WSA enhances learning efficiency. Tested on Atari games, it performs on par with advanced methods and addresses issues like out-of-distribution data.
Sopralapanca/NEAT-Pong-Python
Using the NEAT algorithm to train an AI to play pong in Python!
Sopralapanca/food-delivery-geckosoft-challenge
Sopralapanca/jet-brains-internship-challenge
Sopralapanca/realtime-transcription-diarization
Sopralapanca/sopralapanca.github.io