PinnedIntro to Post-deployment model performanceBy the time machine learning models are deployed, they face reality and its evolution over time. Performance degradation is a machine…Apr 26, 20221Apr 26, 20221
StarCraft II Unplugged : Offline Reinforcement Learning ( Part I )StarCraft II is a Real Strategy Game developed by Blizzard and it is a challenge as it shows some properties interesting from the machine…Feb 21, 20221Feb 21, 20221
Interactive Narrative Control: Safety and Alignment of Language AgentsThis blogpost aims to present Mempathy video game as a Safety and Alignment opportunity and the results and lessons learnt in implementing…Apr 14, 2021Apr 14, 2021
Mempathy : Benchmarking Imitation and Reinforcement Learning for NPC players in serious video…Mempathy is a video game narrative experience that transforms the relationship with anxiety. The video game’s goal is to offer a…Nov 9, 2020Nov 9, 2020
Seeds : Lessons LearntDuring these days the Dream Arcade Jam has been part of itch.io platform . Lots of fun and lessons learnt from this experience . Here…May 4, 2020May 4, 2020
About communication in Multi-Agent Reinforcement LearningCommunication is one of the components of MARL and an active area of research itself, as it might influence the final performance of…Jun 4, 20193Jun 4, 20193
QMIX paper ripped: Monotonic Value Function Factorization for Deep Multi-agent Reinforcement…StarCraft II has been present as a machine learning environment for research since BloodWar. A couple of years ago, DeepMind released…May 11, 2019May 11, 2019
A Unified Game-Theoretic Approach to Multi-agent Reinforcement LearningToday we will dig into a paper ripped of A Unified Game-Theoretic Approach to Multi-agent Reinforcement Learning , one of the core ideas…Feb 13, 20191Feb 13, 20191
SCIILE Blue Moon mini-game and Tencent TSTARBOTS 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…Oct 23, 2018Oct 23, 2018
StarCraft II Learning environment full overview (VIII)Lab : Customize the agentOct 6, 2018Oct 6, 2018