Search Results for author: Hendrik Baier

Found 4 papers, 3 papers with code

Decision Making in Non-Stationary Environments with Policy-Augmented Search

1 code implementation6 Jan 2024 Ava Pettet, Yunuo Zhang, Baiting Luo, Kyle Wray, Hendrik Baier, Aron Laszka, Abhishek Dubey, Ayan Mukhopadhyay

In this paper, we introduce \textit{Policy-Augmented Monte Carlo tree search} (PA-MCTS), which combines action-value estimates from an out-of-date policy with an online search using an up-to-date model of the environment.

Decision Making Decision Making Under Uncertainty +2

BRExIt: On Opponent Modelling in Expert Iteration

no code implementations31 May 2022 Daniel Hernandez, Hendrik Baier, Michael Kaisers

Finding a best response policy is a central objective in game theory and multi-agent learning, with modern population-based training approaches employing reinforcement learning algorithms as best-response oracles to improve play against candidate opponents (typically previously learnt policies).

Online Planning in POMDPs with Self-Improving Simulators

1 code implementation27 Jan 2022 Jinke He, Miguel Suau, Hendrik Baier, Michael Kaisers, Frans A. Oliehoek

To plan reliably and efficiently while the approximate simulator is learning, we develop a method that adaptively decides which simulator to use for every simulation, based on a statistic that measures the accuracy of the approximate simulator.

The Text-Based Adventure AI Competition

1 code implementation3 Aug 2018 Timothy Atkinson, Hendrik Baier, Tara Copplestone, Sam Devlin, Jerry Swan

In 2016, 2017, and 2018 at the IEEE Conference on Computational Intelligence in Games, the authors of this paper ran a competition for agents that can play classic text-based adventure games.

Board Games Natural Language Understanding

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