Mechanisms for opponent modelling
… 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 …
through providing two mechanisms … In Section 3 we present two mechanisms responsible for …
Opponent process model and psychostimulant addiction
… 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 …
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, …
of … The emphasis is on types and roles of opponent models, such as speculation, tutoring, …
[PDF][PDF] Opponent Modelling in Persuasion Dialogues.
… 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 …
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 …
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 …
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 …
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 …
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.
… 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 …
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 mechanism … opponent’s
parameters. On the other hand, a more realistic implementation uses an opponent modelling …
parameters. On the other hand, a more realistic implementation uses an opponent modelling …