BibSLEIGH — Diego_Perez-Liebana

Collaborated with:

S.M.Lucas Raluca D. Gaina Daniel Ashlock Amanda Saunders Kamolwan Kunanusont Simon Mark Lucas Eun-Youn Kim Cristina Guerrero-Romero Cristiana Pacheco Laurissa N. Tokarchuk Ercüment Ilhan J.Gow Ruben Rodriguez Torrado Philip Bontrager Julian Togelius Jialin Liu 0001 Alexander Dockhorn Vanessa Volz Chris Bamford Ivan Bravi Sanaz Mostaghim R.Kruse

Talks about:

game (7) general (5) algorithm (3) learn (3) agent (3) evolutionari (2) reinforc (2) experi (2) video (2) model (2)

Person: Diego Pérez-Liébana

DBLP: P=eacute=rez-Li=eacute=bana:Diego

Contributed to:

2017

2018

2019

Wrote 11 papers:

CIG-2017-AshlockPS #game studies #theorem #video: General video game playing escapes the no free lunch theorem (DA, DPL, AS), pp. 17–24.
AIIDE-2018-GainaLP #algorithm #named #visualisation: VERTIGØ: Visualisation of Rolling Horizon Evolutionary Algorithms in GVGAI (RDG, SML, DPL), pp. 265–267.
AIIDE-2018-KunanusontLP #algorithm #experience #modelling: Modeling Player Experience with the N-Tuple Bandit Evolutionary Algorithm (KK, SML, DPL), pp. 180–186.
CIG-2018-AshlockKP #game studies #towards: Toward General Mathematical Game Playing Agents (DA, EYK, DPL), pp. 1–7.
CIG-2018-GainaLP #experience #predict: General Win Prediction from Agent Experience (RDG, SML, DPL), pp. 1–8.
CIG-2018-Guerrero-Romero #algorithm #design #game studies #testing #using: Using a Team of General AI Algorithms to Assist Game Design and Testing (CGR, SML, DPL), pp. 1–8.
CIG-2018-TorradoBT0P #game studies #learning #video: Deep Reinforcement Learning for General Video Game AI (RRT, PB, JT, JL0, DPL), pp. 1–8.
FDG-2018-PachecoTP #assessment #game studies: Studying believability assessment in racing games (CP, LNT, DPL), p. 10.
CoG-2019-GainaLP: Project Thyia: A Forever Gameplayer (RDG, SML, DPL), pp. 1–8.
CoG-2019-IlhanGP #education #learning #multi: Teaching on a Budget in Multi-Agent Deep Reinforcement Learning (EI, JG, DPL), pp. 1–8.
CoG-2019-LucasDVBGBPMK #approach #game studies #learning: A Local Approach to Forward Model Learning: Results on the Game of Life Game (SML, AD, VV, CB, RDG, IB, DPL, SM, RK), pp. 1–8.