Viliam Lisý

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Czech Technical University in Prague

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Improving Robustness of Malware Classifiers using Adversarial Strings Generated from Perturbed Latent Representations

In malware behavioral analysis, the list of accessed and created files v...
10/22/2021 ∙ by Marek Galovic, et al. ∙ 0 ∙ share

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Mill.jl and JsonGrinder.jl: automated differentiable feature extraction for learning from raw JSON data

Learning from raw data input, thus limiting the need for manual feature ...
05/19/2021 ∙ by Šimon Mandlík, et al. ∙ 0 ∙ share

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Multi-agent Reinforcement Learning in OpenSpiel: A Reproduction Report

In this report, we present results reproductions for several core algori...
02/27/2021 ∙ by Michael Walton, et al. ∙ 0 ∙ share

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Complexity and Algorithms for Exploiting Quantal Opponents in Large Two-Player Games

Solution concepts of traditional game theory assume entirely rational pl...
09/30/2020 ∙ by David Milec, et al. ∙ 0 ∙ share

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Symbolic Relational Deep Reinforcement Learning based on Graph Neural Networks

We present a novel deep reinforcement learning framework for solving rel...
09/25/2020 ∙ by Jaromír Janisch, et al. ∙ 0 ∙ share

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Discovering Imperfectly Observable Adversarial Actions using Anomaly Detection

Anomaly detection is a method for discovering unusual and suspicious beh...
04/22/2020 ∙ by Olga Petrova, et al. ∙ 0 ∙ share

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Deep Reinforcement Learning with Explicitly Represented Knowledge and Variable State and Action Spaces

We focus on a class of real-world domains, where gathering hierarchical ...
11/20/2019 ∙ by Jaromír Janisch, et al. ∙ 0 ∙ share

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Classification with Costly Features as a Sequential Decision-Making Problem

This work focuses on a specific classification problem, where the inform...
09/05/2019 ∙ by Jaromír Janisch, et al. ∙ 0 ∙ share

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Rethinking Formal Models of Partially Observable Multiagent Decision Making

Multiagent decision-making problems in partially observable environments...
06/26/2019 ∙ by Vojtěch Kovařík, et al. ∙ 5 ∙ share

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Problems with the EFG formalism: a solution attempt using observations

We argue that the extensive-form game (EFG) model isn't powerful enough ...
06/14/2019 ∙ by Vojtěch Kovařík, et al. ∙ 0 ∙ share

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Value Functions for Depth-Limited Solving in Zero-Sum Imperfect-Information Games

Depth-limited look-ahead search is an essential tool for agents playing ...
05/31/2019 ∙ by Vojtěch Kovařík, et al. ∙ 0 ∙ share

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Monte Carlo Continual Resolving for Online Strategy Computation in Imperfect Information Games

Online game playing algorithms produce high-quality strategies with a fr...
12/18/2018 ∙ by Michal Šustr, et al. ∙ 0 ∙ share

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Analysis of Hannan Consistent Selection for Monte Carlo Tree Search in Simultaneous Move Games

Hannan consistency, or no external regret, is a key concept for learning...
04/23/2018 ∙ by Vojtěch Kovařík, et al. ∙ 0 ∙ share

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Constructing Imperfect Recall Abstractions to Solve Large Extensive-Form Games

Extensive-form games are an important model of finite sequential interac...
03/14/2018 ∙ by Jiri Cermak, et al. ∙ 0 ∙ share

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Classification with Costly Features using Deep Reinforcement Learning

We study a classification problem where each feature can be acquired for...
11/20/2017 ∙ by Jaromír Janisch, et al. ∙ 0 ∙ share

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DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker

Artificial intelligence has seen several breakthroughs in recent years, ...
01/06/2017 ∙ by Matej Moravčík, et al. ∙ 0 ∙ share

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