Mechanisms for opponent modelling

C Hadjinikolis, S Modgil, E Black… - 2012 Imperial College …, 2012 - kclpure.kcl.ac.uk
… In their case the mechanism responsible for modelling an … problem of opponent modelling
through providing two mechanisms … In Section 3 we present two mechanisms responsible for …

Opponent process model and psychostimulant addiction

GF Koob, SB Caine, L Parsons, A Markou… - Pharmacology …, 1997 - Elsevier
… The concept of motivational or affective withdrawal is reintroduced, which reemphasizes
opponent process theory as a model for the motivational effects of cocaine dependence. The …

[PDF][PDF] Opponent modelling and commercial games

HJ van den Herik, H Donkers… - Proceedings of the …, 2005 - research.tilburguniversity.edu
… the opponent) play an important role. This article focuses on opponent modelling independent
of … The emphasis is on types and roles of opponent models, such as speculation, tutoring, …

[PDF][PDF] Opponent Modelling in Persuasion Dialogues.

C Hadjinikolis, Y Siantos, S Modgil, E Black… - IJCAI, 2013 - cse.iitk.ac.in
… We propose a mechanism which is used for augmenting such an OM with additional
information that is likely to be associated with information already contained in the OM. In other …

Neurobiological mechanisms for opponent motivational processes in addiction

GF Koob, M Le Moal - … of the Royal Society B: Biological …, 2008 - royalsocietypublishing.org
… This model will be a key element for evaluating the motivational significance of opponent
Animal models of the preoccupation/anticipation (‘craving’) stage involve reinstatement of drug …

Opponent Modelling in Multi-Agent Systems

Z Tian - 2021 - discovery.ucl.ac.uk
… often leads to bad performance against another set of opponents. Non-stationarity, partial …
with opponent modelling methods. We tailor our solutions by combining opponent modelling

A survey of opponent modeling in adversarial domains

S Nashed, S Zilberstein - Journal of Artificial Intelligence Research, 2022 - jair.org
… , but it may also aid discriminative and generative opponent models. The quality of Z as an
abstraction space and g() as an abstraction mechanism is related to the ability of states z ∈ Z …

Transfer of learned opponent models in zero sum games

I Guennouni, M Speekenbrink - Computational Brain & Behavior, 2022 - Springer
model of the opponent that may inform what actions they are likely to take next. In this study,
we explore opponent modelling … Either of these mechanisms would explain why learning the …

[PDF][PDF] The Minds of Many: Opponent Modeling in a Stochastic Game.

FB Von Der Osten, M Kirley, T Miller - IJCAI, 2017 - ijcai.org
… Humans have limited ability to model multiple opponents, so … a mechanism to model
stereotyping that segments opponents into categories, which are then treated as single opponents

Opponent Modelling using Inverse Reinforcement Learning

M Rossi - amslaurea.unibo.it
… Ultimately, protocol learning is focused on learning the interaction mechanismopponent’s
parameters. On the other hand, a more realistic implementation uses an opponent modelling