Browsing by Keywords "Games"
Now showing items 1-6 of 6
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Binary signaling under subjective priors and costs as a game
(Institute of Electrical and Electronics Engineers Inc., 2019)Many decentralized and networked control problems involve decision makers which have either misaligned criteria or subjective priors. In the context of such a setup, in this paper we consider binary signaling problems in ... -
A game theoretical model of traffic with multiple interacting drivers for use in autonomous vehicle development
(IEEE, 2016)This paper describes a game theoretical model of traffic where multiple drivers interact with each other. The model is developed using hierarchical reasoning, a game theoretical model of human behavior, and reinforcement ... -
Hierarchical reasoning game theory based approach for evaluation and testing of autonomous vehicle control systems
(IEEE, 2016)A hierarchical game theoretic decision making framework is exploited to model driver decisions and interactions in traffic. In this paper, we apply this framework to develop a simulator to evaluate various existing autonomous ... -
On the number of bins in equilibria for signaling games
(IEEE, 2019-07)We investigate the equilibrium behavior for the decentralized quadratic cheap talk problem in which an encoder and a decoder, viewed as two decision makers, have misaligned objective functions. In prior work, we have shown ... -
The performance comparison of different training strategies for reinforcement learning on DeepRTS
(IEEE, 2022-08-29)In this paper, we train reinforcement learning agents on the game of DeepRTS under different training strategies, which are i) training against rule based agents, ii) self-training and iii) training by adversarial attack ... -
Quadratic signaling with prior mismatch at an encoder and decoder: equilibria, continuity, and robustness properties
(Institute of Electrical and Electronics Engineers, 2022-01-11)We consider communications through a Gaussian noise channel between an encoder and a decoder which have subjective probabilistic models on the source distribution. Although they consider the same cost function, the induced ...
