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Collaborated with:
S.M.Lucas Spyridon Samothrakis Raluca D. Gaina Ivan Bravi Yago Sáez Julian Togelius Cristina Guerrero-Romero Gustavo Recio P.Isasi Lewis Horsley Jialin Liu 0001 Vanessa Volz Olve Drageset Philipp Rohlfshagen Piers R. Williams Annie Louis Xenija Neufeld Sanaz Mostaghim Miguel Nicolau Michael O'Neill 0001 Anthony Brabazon Samuel A. Roberts M.Fasli Hendrik Horn Mike Preuss Ahmed Khalifa Michael Cerny Green Mark H. M. Winands T.Schaul Matthew Stephenson J.Renz Damien Anderson Philip Rodgers J.Levine Ercüment Ilhan Martin Balla Alexander Dockhorn Daniele Loiacono P.L.Lanzi Leonard Kinnaird-Heether Matt Simmerson R.G.Reynolds
Talks about:
game (14) general (9) video (9) play (8) competit (4) generat (4) plan (4) forward (3) evolv (3) race (3)

Person: Diego Perez Liebana

DBLP DBLP: Liebana:Diego_Perez

Contributed to:

CIG 20082008
CIG 20092009
CIG 20112011
CIG 20122012
CIG 20132013
CIG 20142014
CIG 20152015
CIG 20162016
CIG 20172017
CIG 20182018
AIIDE 20192019
CoG 20192019

Wrote 24 papers:

CIG-2008-LoiaconoTLKLSPRS #contest
The WCCI 2008 simulated car racing competition (DL, JT, PLL, LKH, SML, MS, DPL, RGR, YS), pp. 119–126.
CIG-2008-PerezSRI #automation #contest #evolution
Evolving a rule system controller for automatic driving in a car racing competition (DPL, YS, GR, PI), pp. 336–342.
CIG-2009-PerezRSI #contest #evolution #fuzzy
Evolving a fuzzy controller for a Car Racing Competition (DPL, GR, YS, PI), pp. 263–270.
CIG-2011-PerezNOB #game studies #navigation
Reactiveness and navigation in computer games: Different needs, different approaches (DPL, MN, MO0, AB), pp. 273–280.
CIG-2012-PerezRL #monte carlo
Monte Carlo Tree Search: Long-term versus short-term planning (DPL, PR, SML), pp. 219–226.
CIG-2013-PerezSL #learning #monte carlo #multi #online
Online and offline learning in multi-objective Monte Carlo Tree Search (DPL, SS, SML), pp. 1–8.
CIG-2014-PerezSL #game studies #knowledge-based #performance #video
Knowledge-based fast evolutionary MCTS for general video game playing (DPL, SS, SML), pp. 1–8.
CIG-2014-SamothrakisRPL #game studies
Rolling horizon methods for games with continuous states and actions (SS, SAR, DPL, SML), pp. 1–8.
CIG-2015-SamothrakisLLF #game studies #video
Neuroevolution for General Video Game Playing (SS, DPL, SML, MF), pp. 200–207.
CIG-2016-HornVLP #estimation #game studies #hybrid
MCTS/EA hybrid GVGAI players and game difficulty estimation (HH, VV, DPL, MP), pp. 1–8.
CIG-2016-LiebanaSTSL #game studies #robust #video
Analyzing the robustness of general video game playing agents (DPL, SS, JT, TS, SML), pp. 1–8.
CIG-2016-WilliamsLL #contest
Ms. Pac-Man Versus Ghost Team CIG 2016 competition (PRW, DPL, SML), pp. 1–8.
CIG-2017-GainaLL #evolution #game studies #video
Rolling horizon evolution enhancements in general video game playing (RDG, SML, DPL), pp. 88–95.
CIG-2017-Guerrero-Romero #game studies #heuristic
Beyond playing to win: Diversifying heuristics for GVGAI (CGR, AL, DPL), pp. 118–125.
CIG-2017-HorsleyL #automation #generative #network
Building an automatic sprite generator with deep convolutional generative adversarial networks (LH, DPL), pp. 134–141.
CIG-2017-KhalifaGLT #game studies #generative #video
General video game rule generation (AK, MCG, DPL, JT), pp. 170–177.
CIG-2017-LiebanaSGRL #game studies #physics #video
Introducing real world physics and macro-actions to general video game ai (DPL, MS, RDG, JR, SML), pp. 248–255.
CIG-2018-BraviLL0 #analysis #game studies #video
Shallow Decision-Making Analysis in General Video Game Playing (IB, DPL, SML, JL0), pp. 1–8.
AIIDE-2019-LiebanaGDIBL #analysis #statistics
Analysis of Statistical Forward Planning Methods in Pommerman (DPL, RDG, OD, EI, MB, SML), pp. 66–72.
CoG-2019-AndersonRLGL #game studies #video
Ensemble Decision Systems for General Video Game Playing (DA, PR, JL, CGR, DPL), pp. 1–8.
CoG-2019-BraviLL0 #game studies #named #optimisation #statistics
Rinascimento: Optimising Statistical Forward Planning Agents for Playing Splendor (IB, DPL, SML, JL0), pp. 1–8.
CoG-2019-DockhornLVBGL #game studies #learning #modelling
Learning Local Forward Models on Unforgiving Games (AD, SML, VV, IB, RDG, DPL), pp. 1–4.
CoG-2019-DragesetWGL #game studies #generative #optimisation #video
Optimising Level Generators for General Video Game AI (OD, MHMW, RDG, DPL), pp. 1–8.
CoG-2019-NeufeldML #approach #evaluation #evolution #game studies #hybrid
Evolving Game State Evaluation Functions for a Hybrid Planning Approach (XN, SM, DPL), pp. 1–8.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.