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pro vyhledávání: '"Goodman, James A"'
Modern Tabletop Games present various interesting challenges for Multi-agent Reinforcement Learning. In this paper, we introduce PyTAG, a new framework that supports interacting with a large collection of games implemented in the Tabletop Games frame
Externí odkaz:
http://arxiv.org/abs/2405.18123
Autor:
Balla, Martin, Long, George E. M., Jeurissen, Dominik, Goodman, James, Gaina, Raluca D., Perez-Liebana, Diego
In recent years, Game AI research has made important breakthroughs using Reinforcement Learning (RL). Despite this, RL for modern tabletop games has gained little to no attention, even when they offer a range of unique challenges compared to video ga
Externí odkaz:
http://arxiv.org/abs/2307.09905
Publikováno v:
IEEE Transactions on Games 2021
We compare four different `game-spaces' in terms of their usefulness in characterising multi-player tabletop games, with a particular interest in any underlying change to a game's characteristics as the number of players changes. In each case we take
Externí odkaz:
http://arxiv.org/abs/2202.05773
Recent progress in Game AI has demonstrated that given enough data from human gameplay, or experience gained via simulations, machines can rival or surpass the most skilled human players in classic games such as Go, or commercial computer games such
Externí odkaz:
http://arxiv.org/abs/2009.08922
Autor:
Goodman, James, Lucas, Simon
Opponent Modelling tries to predict the future actions of opponents, and is required to perform well in multi-player games. There is a deep literature on learning an opponent model, but much less on how accurate such models must be to be useful. We i
Externí odkaz:
http://arxiv.org/abs/2006.08659
Automated game balancing has often focused on single-agent scenarios. In this paper we present a tool for balancing multi-player games during game design. Our approach requires a designer to construct an intuitive graphical representation of their me
Externí odkaz:
http://arxiv.org/abs/2006.04419
Autor:
Goodman, James, Lucas, Simon
The N-Tuple Bandit Evolutionary Algorithm (NTBEA) has proven very effective in optimising algorithm parameters in Game AI. A potential weakness is the use of a simple average of all component Tuples in the model. This study investigates a refinement
Externí odkaz:
http://arxiv.org/abs/2003.10378
Autor:
Hall, Frances C, Cheriyan, Joseph, Cope, Andrew P, Galloway, James, Wilkinson, Ian, Bond, Simon, Norton, Sam, Banham-Hall, Edward, Bayes, Hannah, Kostapanos, Michalis, Nodale, Marianna, Petchey, William, Sheeran, Thomas, Underwood, Jonathan, Jayne, David R, Nagra, Deepak, Bird, Georgina, Davies, Rhys John, Forde, Donall, Nye, Clemency, Balan, Andrea, Bird, Sam, Britten, Vianne, Broad, Lauren, Evans, Teriann, Frayling, Sharon, Gray, Laura, Haynes, Matthew, Oliver, Catherine, Rahilly, Karen, Williams, Gail, Ahmed, Tanwir, Bayliss, Carrie, Byrne, Natalie, Hernan-Sancho, Elena, Kasanicki, Mary, Stockley, Louise, Templin, Heike, Fisk, Marie, Goodman, James, Graggaber, Johann, Gray, Joanna, Gudu, Tania, Kulkarni, Spoorthy, Ni Lu, Ing, Masters, Peta, Mir, Fraz, Stober, Carmel, Abercrombie, Donna, Bermperi, Areti, Burns, Stella, Canna, Laura, Domingo, Jason, Hodges, Kathy, Jose, Sherly, Kourampa, Evgenia, Meadows, Anne, Mendoza, Vivien, Mushapaizdi, Thelma, Nacorda, Aileen, Pasquale, Ciro, Read, Debbie, Rowlands, Jane, Ruffulo, Valentina, Soave, Carlotta, Titti, Lissamma, Tordesillas, Hugo, Wright, Samantha, Scott, Kathryn, Sharma, Varun, Cathcart, Susanne, Rimmer, Dominic, Semple, Gary, Sheeran, Tom, Phiri, Laurence, Plumbe, Ann, Bhagat, Shweta, Moody, Anne Margaret, Kellett, Jo, Bukhari, Marwan, Burns, Karen, Crayton, Susanna, Fielding, Andra, Simpson, Kerry, Shah, Andrew, Thatcher, Hilary, Makkuni, Damodar, Harrison, Wendy, Jain, Thrusha, Patrick, Jean, Pratt, Arthur, Sheerin, Neil S, Kavanagh, David, Barr, Andrew, Baldwin, Kelly, Judd, Claire, McAlinden, Paul, McCormack, Louise, Stephenson, Elaine, Sharma, Sunil, Cross, Elizabeth L A, Bracewell, Kirsty, Musiol, Monika, Seal, Matthew, Cope, Andrew, Koduri, Gouri, Mercioniu, Mihaela, Kunhunny, Swapna, Pollard, Louise, Coakley, Gerald, Gupta, Sunil, Holloway, Amelia, Pilgrim, Samia, Treus, Estefania, Boehmer, Gabriele, Beranova, Eva, Ionita, Ana, Allen, Louise, Deery, Joanne, Hazelton, Tracy, Knight, Alicia, Price, Carly, Tilbey, Sorrell, Bradbury, Charlotte, Willis, Joanna, Drury, Kay, Putensen, Daniel, Schmidtmann, Anja, Dimitriadis, Georgios K, Gogoi, Sukanya, Vidler, Jennifer, Griffiths, Nicola, Rajasekaran, Arvind, Orme, Amy, Devenport, Debbie, Nisar, Muhammad, Ustianowski, Andrew, Lindergard, Gabriella, Uriel, Alison, Hey, Samuel, Lamb, Thomas, Bruce, Michelle, Flaherty, Jan, Fox, Claire, Parfrey, Helen, Dorey, Kane, Petchey, William G
Publikováno v:
In The Lancet Respiratory Medicine December 2023 11(12):1064-1074
Publikováno v:
In Safety Science September 2023 165
The hand, a complex effector comprising dozens of degrees of freedom of movement, endows us with the ability to flexibly, precisely, and effortlessly interact with objects. The neural signals associated with dexterous hand movements in primary motor
Externí odkaz:
http://arxiv.org/abs/1904.03531