BibSLEIGH — Matthew

Collaborated with:

J.Renz Éric Piette Dennis J. N. J. Soemers Cameron Browne Raluca D. Gaina Xiaoyu Ge Tommy Liu Peng Zhang 0021 Diego Perez Liebana S.M.Lucas C.Piette Philip Bontrager Ahmed Khalifa Damien Anderson Christoph Salge Julian Togelius

Talks about:

game (9) angri (7) bird (7) play (5) physic (4) ludii (4) level (4) generat (3) general (3) learn (3)

Person: Matthew Stephenson

DBLP: Stephenson:Matthew

Contributed to:

2016

2017

2018

2019

Wrote 15 papers:

AIIDE-2016-StephensonR #game studies #generative #physics: Procedural Generation of Levels for Angry Birds Style Physics Games (MS, JR), pp. 225–231.
CIG-2016-StephensonR #generative: Procedural generation of complex stable structures for angry birds levels (MS, JR), pp. 1–8.
AIIDE-2017-StephensonR: Creating a Hyper-Agent for Solving Angry Birds Levels (MS, JR), pp. 234–240.
AIIDE-2017-StephensonRG #complexity #game studies: The Computational Complexity of Angry Birds and Similar Physics-Simulation Games (MS, JR, XG), pp. 241–247.
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-2017-StephensonR #game studies #generative #physics: Generating varied, stable and solvable levels for angry birds style physics games (MS, JR), pp. 288–295.
FDG-2018-StephensonR #game studies #towards: Deceptive angry birds: towards smarter game-playing agents (MS, JR), p. 10.
AIIDE-2019-BontragerKASST #game studies #learning #network: “Superstition” in the Network: Deep Reinforcement Learning Plays Deceptive Games (PB, AK, DA, MS, CS, JT), pp. 10–16.
CoG-2019-GainaS #game studies #learning #video: “Did You Hear That?” Learning to Play Video Games from Audio Cues (RDG, MS), pp. 1–4.
CoG-2019-LiuR0S #heuristic #performance #using: Using Restart Heuristics to Improve Agent Performance in Angry Birds (TL, JR, PZ0, MS), pp. 1–8.
CoG-2019-PiettePSSB #game studies #logic: Ludii and XCSP: Playing and Solving Logic Puzzles (CP, ÉP, MS, DJNJS, CB), pp. 1–4.
CoG-2019-PietteSSB #empirical #evaluation #game studies: An Empirical Evaluation of Two General Game Systems: Ludii and RBG (ÉP, MS, DJNJS, CB), pp. 1–4.
CoG-2019-SoemersPSB #learning #policy #self: Learning Policies from Self-Play with Policy Gradients and MCTS Value Estimates (DJNJS, ÉP, MS, CB), pp. 1–8.
CoG-2019-StephensonPSB #contest #framework #platform: Ludii as a Competition Platform (MS, ÉP, DJNJS, CB), pp. 1–8.
CoG-2019-StephensonPSB19a #game studies #overview: An Overview of the Ludii General Game System (MS, ÉP, DJNJS, CB), pp. 1–2.