Travelled to:1 × Finland
Collaborated with:R.Prada Joao Quiterio A.Paiva S.P.Meyn M.I.Ribeiro Andre Santos Pedro Alexandre Santos Pedro Sequeira Rui Soares Francisco Leal Phil Lopes Joao Catarino Filipa Correia Patricia Alves-Oliveira Tiago Ribeiro 0001
Talks about:geometri (3) friend (3) game (3) reinforc (2) approach (2) learn (2) tree (2) environment (1) hearthston (1) multiplay (1)
Person: Francisco S. Melo
DBLP: Melo:Francisco_S=
Contributed to:
2008
2015
2016
20172017Wrote 7 papers:
- ICML-2008-MeloMR #analysis #approximate #learning
- An analysis of reinforcement learning with function approximation (FSM, SPM, MIR), pp. 664–671.
- CIG-2015-PradaLCQM #contest #game studies #geometry
- The geometry friends game AI competition (RP, PL, JC, JQ, FSM), pp. 431–438.
- CIG-2015-QuiterioPM #approach #geometry #learning
- A reinforcement learning approach for the circle agent of geometry friends (JQ, RP, FSM), pp. 423–430.
- DiGRA-FDG-2016-SoaresLPM #approach #geometry #random
- Rapidly-Exploring Random Tree approach for Geometry Friends (RS, FL, RP, FSM).
- AIIDE-2017-CorreiaA0MP #game studies #social
- A Social Robot as a Card Game Player (FC, PAO, TR0, FSM, AP), pp. 23–29.
- CIG-2017-SantosSM #monte carlo
- Monte Carlo tree search experiments in hearthstone (AS, PAS, FSM), pp. 272–279.
- CIG-2015-SequeiraMP #collaboration #exclamation #game studies #multi #quote
- “Let's save resources!”: A dynamic, collaborative AI for a multiplayer environmental awareness game (PS, FSM, AP), pp. 399–406.