Social Reinforcement Learning in Game Playing

2012 ◽  
Author(s):  
C. Kiourt ◽  
D. Kalles
Keyword(s):  
Reinforcement Learning ◽  
Social Reinforcement ◽  
Game Playing

The Mario AI Championship 2009-2012

AI Magazine ◽  
2013 ◽  
Vol 34 (3) ◽  
pp. 89-92 ◽  
Author(s):  
Julian Togelius ◽  
Noor Shaker ◽  
Sergey Karakovskiy ◽  
Georgios N. Yannakakis
Keyword(s):  
Reinforcement Learning ◽  
Open Source ◽  
Turing Test ◽  
Lessons Learned ◽  
Game Playing ◽  
Test Track

We give a brief overview of the Mario AI Championship, a series of competitions based on an open source clone of the seminal platform game Super Mario Bros. The competition has four tracks. The gameplay and learning tracks resemble traditional reinforcement learning competitions, the Level generation track focuses on the generation of entertaining game levels, and the Turing Test track focuses on humanlike game-playing behavior. We also outline some lessons learned from the competition and its future. The article is written by the four organizers of the competition.

scholarly journals Engineering Adaptive Gene Circuits in Bacteria Mastering Game Playing by Reinforcement Learning

2021 ◽  
Vol 120 (3) ◽  
pp. 262a
Author(s):  
Satya Prakash ◽  
Adrian Racovita ◽  
Clenira Varela ◽  
Mark Walsh ◽  
Roberto Galizi ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
Game Playing ◽  
Gene Circuits

Racial Bias Shapes Social Reinforcement Learning

2014 ◽  
Vol 25 (3) ◽  
pp. 711-719 ◽  
Author(s):  
Björn Lindström ◽  
Ida Selbing ◽  
Tanaz Molapour ◽  
Andreas Olsson
Keyword(s):  
Reinforcement Learning ◽  
Racial Bias ◽  
Social Reinforcement

scholarly journals The Reinforcement Learning Competition 2014

AI Magazine ◽  
2014 ◽  
Vol 35 (3) ◽  
pp. 61-65 ◽  
Author(s):  
Christos Dimitrakakis ◽  
Guangliang Li ◽  
Nikoalos Tziortziotis
Keyword(s):  
Artificial Intelligence ◽  
Reinforcement Learning ◽  
Experiment Design ◽  
Learning Problems ◽  
Game Playing ◽  
Test Bed ◽  
Learning Agents

Reinforcement learning is one of the most general problems in artificial intelligence. It has been used to model problems in automated experiment design, control, economics, game playing, scheduling and telecommunications. The aim of the reinforcement learning competition is to encourage the development of very general learning agents for arbitrary reinforcement learning problems and to provide a test-bed for the unbiased evaluation of algorithms.

scholarly journals Social Anxiety and Dynamic Social Reinforcement Learning in a Volatile Environment

2019 ◽  
Vol 7 (6) ◽  
pp. 1372-1388
Author(s):  
Miranda L. Beltzer ◽  
Stephen Adams ◽  
Peter A. Beling ◽  
Bethany A. Teachman
Keyword(s):  
Reinforcement Learning ◽  
Social Anxiety ◽  
Social Reinforcement ◽  
Dynamic Learning ◽  
Socially Anxious ◽  
Role Changes ◽  
Learning Rates ◽  
New Information ◽  
Dynamic Updating ◽  
Reward And Punishment

Adaptive social behavior requires learning probabilities of social reward and punishment and updating these probabilities when they change. Given prior research on aberrant reinforcement learning in affective disorders, this study examines how social anxiety affects probabilistic social reinforcement learning and dynamic updating of learned probabilities in a volatile environment. Two hundred and twenty-two online participants completed questionnaires and a computerized ball-catching game with changing probabilities of reward and punishment. Dynamic learning rates were estimated to assess the relative importance ascribed to new information in response to volatility. Mixed-effects regression was used to analyze throw patterns as a function of social anxiety symptoms. Higher social anxiety predicted fewer throws to the previously punishing avatar and different learning rates after certain role changes, suggesting that social anxiety may be characterized by difficulty updating learned social probabilities. Socially anxious individuals may miss the chance to learn that a once-punishing situation no longer poses a threat.

scholarly journals Adolescent-specific patterns of behavior and neural activity during social reinforcement learning

2014 ◽  
Vol 14 (2) ◽  
pp. 683-697 ◽  
Author(s):  
Rebecca M. Jones ◽  
Leah H. Somerville ◽  
Jian Li ◽  
Erika J. Ruberry ◽  
Alisa Powers ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
Neural Activity ◽  
Social Reinforcement ◽  
Patterns Of Behavior

scholarly journals Game Playing Agent for 2048 using Deep Reinforcement Learning

NCICCNDA ◽  
2018 ◽  
Author(s):  
Varun Kaundinya ◽  
Shubham Jain ◽  
Sumanth Saligram ◽  
C K Vanamala ◽  
Avinash B
Keyword(s):  
Reinforcement Learning ◽  
Game Playing

scholarly journals Behavioral and Neural Properties of Social Reinforcement Learning

2011 ◽  
Vol 31 (37) ◽  
pp. 13039-13045 ◽  
Author(s):  
R. M. Jones ◽  
L. H. Somerville ◽  
J. Li ◽  
E. J. Ruberry ◽  
V. Libby ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
Social Reinforcement
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