Travelled to:1 × France
1 × USA
Collaborated with:Matthew Guzdial B.Li Brent Harrison Nicholas Liao Zijin Luo C.León G.Sukthankar Hong Yu 0010 Spencer Frazier A.Zook Stephen Lee-Urban Zhiyu Lin Kyle Xiao Hua Ai A.Ram Christopher Purdy X.Wang Larry He S.Robertson R.Solomon T.W.Gillespie T.Chociemski V.Master A.Mohan N.M.Davis B.O'Neill B.Headrick A.Grosz M.Nitsche Alexander E. Zook Michael Cook 0001 E.Butler Kristin Siu James Owen Ryan Ben Samuel Adam Summerville M.Mateas N.Wardrip-Fruin
Talks about:interact (3) generat (3) experi (3) video (3) crowdsourc (2) gameplay (2) extract (2) player (2) narrat (2) design (2)
Person: Mark Riedl
DBLP: Riedl:Mark
Facilitated 1 volumes:
EdContributed to:
2015
2013200920112012
2013201520162017201820192019Wrote 17 papers:
- LCT-2015-RobertsonSRGCMM #design #implementation #visual notation
- The Visual Design and Implementation of an Embodied Conversational Agent in a Shared Decision-Making Context (eCoach) (SR, RS, MR, TWG, TC, VM, AM), pp. 427–437.
- CHI-2013-DavisZOHRGN
- Creativity support for novice digital filmmaking (NMD, AZ, BO, BH, MR, AG, MN), pp. 651–660.
- AIIDE-2009-RiedlL #generative
- Generating Story Analogues (MR, CL).
- AIIDE-2011-RiedlLAR #case study #experience #multi #robust
- Robust and Authorable Multiplayer Storytelling Experiences (MR, BL, HA, AR).
- AIIDE-2012-RiedlS
- Preface (MR, GS).
- FDG-2013-LiLR #crowdsourcing #game studies #interactive
- Crowdsourcing interactive fiction games (BL, SLU, MR), pp. 431–432.
- FDG-2013-YuR #interactive #personalisation #towards
- Toward personalized guidance in interactive narratives (HY0, MR), pp. 457–458.
- FDG-2015-GuzdialHLR #crowdsourcing #interactive
- Crowdsourcing Open Interactive Narrative (MG, BH, BL, MR).
- FDG-2015-ZookHR #analysis #game studies #monte carlo
- Monte-Carlo Tree Search for Simulation-based Play Strategy Analysis (AZ, BH, MR).
- AIIDE-2016-ZookCBSGRRSSMW #case study #experience
- Playable Experiences at AIIDE 2016 (AEZ, MC0, EB, KS, MG, MR, JOR, BS, AS, MM, NWF), p. 251–?.
- FDG-2017-LiaoGR #modelling
- Deep convolutional player modeling on log and level data (NL, MG, MR), p. 4.
- AIIDE-2018-GuzdialR #automation #concept #design #game studies
- Automated Game Design via Conceptual Expansion (MG, MR), pp. 31–37.
- AIIDE-2018-LuoGLR #experience #video
- Player Experience Extraction from Gameplay Video (ZL, MG, NL, MR), pp. 52–58.
- AIIDE-2018-PurdyWHR #metric #predict #quality
- Predicting Generated Story Quality with Quantitative Measures (CP, XW, LH, MR), pp. 95–101.
- AIIDE-2019-FrazierR #learning
- Improving Deep Reinforcement Learning in Minecraft with Action Advice (SF, MR), pp. 146–152.
- AIIDE-2019-LinXR #learning #named #semantics
- GenerationMania: Learning to Semantically Choreograph (ZL, KX, MR), pp. 52–58.
- FDG-2019-LuoGR #network #parsing #using #video
- Making CNNs for video parsing accessible: event extraction from DOTA2 gameplay video using transfer, zero-shot, and network pruning (ZL, MG, MR), p. 10.