gema.parreno.piqueras

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Intro to Post-deployment model performance

By the time machine learning models are deployed, they face reality and its evolution over time. Performance degradation is a machine learning phenomenon that happens once the machine learning model is deployed into production and can be defined as its devaluation or deterioration over time : it is a complex…

Mlops

5 min read

Intro to Post-deployment model performance

Feb 21

StarCraft II Unplugged : Offline Reinforcement Learning

StarCraft II is a Real Strategy Game developed by Blizzard and it is a challenge as it shows some properties interesting from the machine learning perspective : real time, partial observability and vast action and observation space . Mastering the game entails strategic planning over time , and control…

Machine Learning

12 min read

StarCraft II Unplugged : Offline Reinforcement Learning ( Part I )

Apr 14, 2021

Interactive Narrative Control: Safety and Alignment of Language Agents

This blogpost aims to present Mempathy video game as a Safety and Alignment opportunity and the results and lessons learnt in implementing controlled language generation with Plug and Play Models (PPLM) for NPC design. The results show that safe and aligned conversation in narrative games goes beyond controlling language models…

Machine Learning

10 min read

Interactive Narrative Control: Safety and Alignment of Language Agents

Nov 9, 2020

Mempathy : Benchmarking Imitation and Reinforcement Learning for NPC players in serious video games with Unity ML agents.

Mempathy is a video game narrative experience that transforms the relationship with anxiety. The video game’s goal is to offer a reflective experience, and the winning state is defined by a feeling of advancement and companionship towards anxiety. …

Machine Learning

8 min read

Mempathy : Benchmarking Imitation and Reinforcement Learning for NPC players in serious video…

May 4, 2020

Seeds : Lessons Learnt

During these days the Dream Arcade Jam has been part of itch.io platform and some were able to take part on it . Lots of fun and lessons learnt from this experience . Here comes some lessons learnt about Game design and Animation from this experience! Idea : An arcade about love ? Arcade…

Videogames

4 min read

Jun 4, 2019

About communication in Multi-Agent Reinforcement Learning

Communication is one of the components of MARL and an active area of research itself, as it might influence the final performance of agents, and it affects coordination or negotiation directly. …

Machine Learning

8 min read

About communication in Multi-Agent Reinforcement Learning

May 11, 2019

QMIX paper ripped: Monotonic Value Function Factorization for Deep Multi-agent Reinforcement Learning in StarCraft II

StarCraft II has been present as a machine learning environment for research since BloodWar. A couple of years ago, DeepMind released pysc2, a research environment for StarCraft II and later in 2019, Whiteson Oxford Research Lab open-sourced SMAC, a cooperative multiagent environment based on pysc2 with a cooperative setup, meaning…

Machine Learning

5 min read

QMIX paper ripped: Monotonic Value Function Factorization for Deep Multi-agent Reinforcement…

Feb 13, 2019

A Unified Game-Theoretic Approach to Multi-agent Reinforcement Learning

Today we will dig into a paper ripped of A Unified Game-Theoretic Approach to Multi-agent Reinforcement Learning , one of the core ideas that has been used for the development of #AlphaStar . There are several concepts in AlphaStar that won´t be treated here . The aim is to dig…

Machine Learning

4 min read

A Unified Game-Theoretic Approach to Multi-agent Reinforcement Learning

Oct 23, 2018

SCIILE Blue Moon mini-game and Tencent TSTRARBOTS paper ripped [Part I]

In this article we will dive into a Tencent Paper + University of Rochester + Northwestern University paper and a new mini-game developed by myself ( Blue Moon) that proposes a learning environment for Tech Tree development . A significant part of TSTARTBOTS paper — Tencent AI Lab + University…

Machine Learning

4 min read

SCIILE Blue Moon mini-game and Tencent TSTARBOTS paper ripped [Part I]

Oct 6, 2018

StarCraft II Learning environment full overview (VIII)

Lab : Customize the agent “Hierach?” Talandar Protoss selected order unit quote Try your own mini-game You can try your own mini-game by changing the following steps in your pySC2 folder Create your mini-game. You can visit this tutorial that changes DefeatRoaches into DefeatWhatever melee Add your mini-game to the array in pysc2\maps\mini_games.py Add the mini-game name into the…

Machine Learning

2 min read

StarCraft II Learning environment full overview (VIII)