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Alexander Kuhnle
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2020 – today
- 2023
- [j2]Jonathan Viquerat
, Régis Duvigneau
Policy-based optimization: single-step policy gradient method seen as an evolution strategy. Neural Comput. Appl. 35(1): 449-467 (2023) - 2022
- [i16]Fabio Pino, Lorenzo Schena, Jean Rabault, Alexander Kuhnle, Miguel A. Mendez:
Comparative analysis of machine learning methods for active flow control. CoRR abs/2202.11664 (2022) - 2021
- [j1]Jonathan Viquerat, Jean Rabault, Alexander Kuhnle, Hassan Ghraieb, Aurélien Larcher, Elie Hachem
Direct shape optimization through deep reinforcement learning. J. Comput. Phys. 428: 110080 (2021) - [c7]Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov:
Demonstration-Efficient Inverse Reinforcement Learning in Procedurally Generated Environments. CoG 2021: 1-8 - [c6]Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov:
Policy Fusion for Adaptive and Customizable Reinforcement Learning Agents. CoG 2021: 1-8 - [c5]Alexander Kuhnle, Miguel Aroca-Ouellette, Anindya Basu, Murat Sensoy
Reinforcement Learning for Information Retrieval. SIGIR 2021: 2669-2672 - [i15]Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov:
Policy Fusion for Adaptive and Customizable Reinforcement Learning Agents. CoRR abs/2104.10610 (2021) - 2020
- [b1]Alexander Kuhnle:
Evaluating visually grounded language capabilities using microworlds. University of Cambridge, UK, 2020 - [i14]Dell Zhang, Alexander Kuhnle, Julian Richardson, Murat Sensoy:
Process Discovery for Structured Program Synthesis. CoRR abs/2008.05804 (2020) - [i13]Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov:
DeepCrawl: Deep Reinforcement Learning for Turn-based Strategy Games. CoRR abs/2012.01914 (2020) - [i12]Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov:
Demonstration-efficient Inverse Reinforcement Learning in Procedurally Generated Environments. CoRR abs/2012.02527 (2020) - [i11]Alessandro Sestini, Alexander Kuhnle, Andrew D. Bagdanov:
Deep Policy Networks for NPC Behaviors that Adapt to Changing Design Parameters in Roguelike Games. CoRR abs/2012.03532 (2020)
2010 – 2019
- 2019
- [c4]Alexander Kuhnle, Ann A. Copestake:
The Meaning of "Most" for Visual Question Answering Models. BlackboxNLP@ACL 2019: 46-55 - [i10]Alexander Kuhnle, Ann A. Copestake:
What is needed for simple spatial language capabilities in VQA? ViGIL@NeurIPS 2019 - [i9]Paul Garnier, Jonathan Viquerat, Jean Rabault, Aurélien Larcher, Alexander Kuhnle, Elie Hachem:
A review on Deep Reinforcement Learning for Fluid Mechanics. CoRR abs/1908.04127 (2019) - [i8]Alexander Kuhnle, Ann A. Copestake:
What is needed for simple spatial language capabilities in VQA? CoRR abs/1908.06336 (2019) - [i7]Jonathan Viquerat, Jean Rabault, Alexander Kuhnle, Hassan Ghraieb, Elie Hachem:
Direct shape optimization through deep reinforcement learning. CoRR abs/1908.09885 (2019) - [i6]Huiyuan Xie, Tom Sherborne
Going Beneath the Surface: Evaluating Image Captioning for Grammaticality, Truthfulness and Diversity. CoRR abs/1912.08960 (2019) - 2018
- [c3]Alexander Kuhnle
How Clever Is the FiLM Model, and How Clever Can it Be? ECCV Workshops (4) 2018: 162-172 - [i5]Michael Schaarschmidt, Alexander Kuhnle, Ben Ellis, Kai Fricke, Felix Gessert, Eiko Yoneki:
LIFT: Reinforcement Learning in Computer Systems by Learning From Demonstrations. CoRR abs/1808.07903 (2018) - [i4]Alexander Kuhnle, Huiyuan Xie, Ann A. Copestake:
How clever is the FiLM model, and how clever can it be? CoRR abs/1809.03044 (2018) - [i3]Alexander Kuhnle, Ann A. Copestake:
The meaning of "most" for visual question answering models. CoRR abs/1812.11737 (2018) - 2017
- [i2]Alexander Kuhnle, Ann A. Copestake:
ShapeWorld - A new test methodology for multimodal language understanding. CoRR abs/1704.04517 (2017) - [i1]Alexander Kuhnle, Ann A. Copestake:
Deep learning evaluation using deep linguistic processing. CoRR abs/1706.01322 (2017) - 2016
- [c2]Yimai Fang, Haoyue Zhu, Ewa Muszynska, Alexander Kuhnle, Simone Teufel:
A Proposition-Based Abstractive Summariser. COLING 2016: 567-578 - [c1]Ann A. Copestake, Guy Emerson, Michael Wayne Goodman, Matic Horvat, Alexander Kuhnle, Ewa Muszynska:
Resources for building applications with Dependency Minimal Recursion Semantics. LREC 2016
Coauthor Index
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