Skip to content
View Francesco-Sovrano's full-sized avatar

Block or report Francesco-Sovrano

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Popular repositories Loading

  1. Generic-Hierarchical-Deep-Reinforcement-Learning-for-Sentiment-Analysis Generic-Hierarchical-Deep-Reinforcement-Learning-for-Sentiment-Analysis Public

    A3C and generic hierarchical RL for sentiment analysis tasks

    Python 15 2

  2. Framework-for-Actor-Critic-deep-reinforcement-learning-algorithms Framework-for-Actor-Critic-deep-reinforcement-learning-algorithms Public

    Framework for developing Actor-Critic deep RL algorithms (A3C, A2C, PPO, GAE, etc..) in different environments (OpenAI's Gym, Rogue, Sentiment Analysis, Car Controller, etc..) with continuous and d…

    Python 10 1

  3. DoXpy DoXpy Public

    Replication package for the KNOSYS paper titled "An Objective Metric for Explainable AI: How and Why to Estimate the Degree of Explainability".

    Python 10 3

  4. Legal-Knowledge-Extraction-for-Knowledge-Graph-Based-Question-Answering Legal-Knowledge-Extraction-for-Knowledge-Graph-Based-Question-Answering Public

    Extra documentation (knowledge graph, images, etc..) for the paper "Legal Knowledge Extraction for Knowledge Graph Based Question-Answering".

    HTML 9 1

  5. Partitioned-A3C-for-RogueInABox Partitioned-A3C-for-RogueInABox Public

    Forked from rogueinabox/rogueinabox

    A novel A3C-based architecture for crawling in Rogue's dungeons with Deep Reinforcement Learning

    Python 6

  6. Combining--experience-replay--with--exploration-by-random-network-distillation- Combining--experience-replay--with--exploration-by-random-network-distillation- Public

    Combining Experience Replay with Exploration by Random Network Distillation

    Python 5 1