
A faster algorithm for finding Tarski fixed points
Dang et al. have given an algorithm that can find a Tarski fixed point i...
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A deep learning approach to identify unhealthy advertisements in street view images
While outdoor advertisements are common features within towns and cities...
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A Natural ActorCritic Algorithm with Downside Risk Constraints
Existing work on risksensitive reinforcement learning  both for symmet...
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Robust Market Making via Adversarial Reinforcement Learning
We show that adversarial reinforcement learning (ARL) can be used to pro...
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Tree Polymatrix Games are PPADhard
We prove that it is PPADhard to compute a Nash equilibrium in a tree po...
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The Automated Inspection of Opaque Liquid Vaccines
In the pharmaceutical industry the screening of opaque vaccines containi...
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OneClock Priced Timed Games are PSPACEhard
The main result of this paper is that computing the value of a oneclock...
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Evolving Indoor Navigational Strategies Using Gated Recurrent Units In NEAT
Simultaneous Localisation and Mapping (SLAM) algorithms are expensive to...
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The Representational Capacity of ActionValue Networks for MultiAgent Reinforcement Learning
Recent years have seen the application of deep reinforcement learning te...
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Unique End of Potential Line
This paper studies the complexity of problems in PPAD ∩ PLS that have un...
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Negative Update Intervals in Deep MultiAgent Reinforcement Learning
In MultiAgent Reinforcement Learning, independent cooperative learners ...
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Beyond Local Nash Equilibria for Adversarial Networks
Save for some special cases, current training methods for Generative Adv...
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Market Making via Reinforcement Learning
Market making is a fundamental trading problem in which an agent provide...
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End of Potential Line
We introduce the problem EndOfPotentialLine and the corresponding comple...
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GANGs: Generative Adversarial Network Games
Generative Adversarial Networks (GAN) have become one of the most succes...
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Symmetric Decomposition of Asymmetric Games
We introduce new theoretical insights into twopopulation asymmetric gam...
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Reachability Switching Games
In this paper, we study the problem of deciding the winner of reachabili...
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Lenient MultiAgent Deep Reinforcement Learning
A significant amount of research in recent years has been dedicated towa...
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Rahul Savani
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