Hans J. Briegel

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 45

Top Topics

Decision Processes

Markov Decision Process

Reinforcement Learning

Top Venues

Mach. Learn. Sci. Technol.

Publications

Florian Fürrutter, Gorka Muñoz-Gil, Hans J. Briegel
Quantum circuit synthesis with diffusion models. Nat. Mac. Intell. 6 (5) (2024)
Philip A. LeMaitre, Marius Krumm, Hans J. Briegel
Multi-Excitation Projective Simulation with a Many-Body Physics Inspired Inductive Bias. CoRR (2024)
Benjamin Eva, Katja Ried, Thomas Müller, Hans J. Briegel
How a Minimal Learning Agent can Infer the Existence of Unobserved Variables in a Complex Environment. Minds Mach. 33 (1) (2023)
Florian Fürrutter, Gorka Muñoz-Gil, Hans J. Briegel
Quantum circuit synthesis with diffusion models. CoRR (2023)
Arunava Majumder, Marius Krumm, Tina Radkohl, Hendrik Poulsen Nautrup, Sofiène Jerbi, Hans J. Briegel
Variational measurement-based quantum computation for generative modeling. CoRR (2023)
Fulvio Flamini, Marius Krumm, Lukas J. Fiderer, Thomas Müller, Hans J. Briegel
Reinforcement learning and decision making via single-photon quantum walks. CoRR (2023)
Lea M. Trenkwalder, Andrea López-Incera, Hendrik Poulsen Nautrup, Fulvio Flamini, Hans J. Briegel
Automated gadget discovery in the quantum domain. Mach. Learn. Sci. Technol. 4 (3) (2023)
Isaac D. Smith, Marius Krumm, Lukas J. Fiderer, Hendrik Poulsen Nautrup, Hans J. Briegel
The Min-Entropy of Classical-Quantum Combs for Measurement-Based Applications. Quantum 7 (2023)
Gorka Muñoz-Gil, Andrea López-Incera, Lukas J. Fiderer, Hans J. Briegel
Optimal foraging strategies can be learned and outperform Lévy walks. CoRR (2023)
Hendrik Poulsen Nautrup, Hans J. Briegel
Measurement-based quantum computation from Clifford quantum cellular automata. CoRR (2023)
Lea M. Trenkwalder, Andrea López-Incera, Hendrik Poulsen Nautrup, Fulvio Flamini, Hans J. Briegel
Automated Gadget Discovery in Science. CoRR (2022)
Hendrik Poulsen Nautrup, Tony Metger, Raban Iten, Sofiène Jerbi, Lea M. Trenkwalder, Henrik Wilming, Hans J. Briegel, Renato Renner
Operationally meaningful representations of physical systems in neural networks. Mach. Learn. Sci. Technol. 3 (4) (2022)
Sofiène Jerbi, Casper Gyurik, Simon Marshall, Hans J. Briegel, Vedran Dunjko
Variational quantum policies for reinforcement learning. CoRR (2021)
Sofiène Jerbi, Casper Gyurik, Simon Marshall, Hans J. Briegel, Vedran Dunjko
Parametrized Quantum Policies for Reinforcement Learning. NeurIPS (2021)
Sofiène Jerbi, Lukas J. Fiderer, Hendrik Poulsen Nautrup, Jonas M. Kübler, Hans J. Briegel, Vedran Dunjko
Quantum machine learning beyond kernel methods. CoRR (2021)
Valeria Saggio, Beate E. Asenbeck, Arne Hamann, Teodor Strömberg, Peter Schiansky, Vedran Dunjko, Nicolai Friis, Nicholas C. Harris, Michael Hochberg, Dirk R. Englund, Sabine Wölk, Hans J. Briegel, Philip Walther
Experimental quantum speed-up in reinforcement learning agents. Nat. 591 (7849) (2021)
Andrea López-Incera, Katja Ried, Thomas Müller, Hans J. Briegel
Development of swarm behavior in artificial learning agents that adapt to different foraging environments. CoRR (2020)
Simon Hangl, Vedran Dunjko, Hans J. Briegel, Justus H. Piater
Skill Learning by Autonomous Robotic Playing Using Active Learning and Exploratory Behavior Composition. Frontiers Robotics AI 7 (2020)
Walter L. Boyajian, Jens Clausen, Lea M. Trenkwalder, Vedran Dunjko, Hans J. Briegel
On the convergence of projective-simulation-based reinforcement learning in Markov decision processes. Quantum Mach. Intell. 2 (2) (2020)
Hendrik Poulsen Nautrup, Tony Metger, Raban Iten, Sofiène Jerbi, Lea M. Trenkwalder, Henrik Wilming, Hans J. Briegel, Renato Renner
Operationally meaningful representations of physical systems in neural networks. CoRR (2020)
Andrea López-Incera, Morgane Nouvian, Katja Ried, Thomas Müller, Hans J. Briegel
Collective defense of honeybee colonies: experimental results and theoretical modeling. CoRR (2020)
Jens Clausen, Walter L. Boyajian, Lea M. Trenkwalder, Vedran Dunjko, Hans J. Briegel
On the convergence of projective-simulation-based reinforcement learning in Markov decision processes. CoRR (2019)
Katja Ried, Benjamin Eva, Thomas Müller, Hans J. Briegel
How a minimal learning agent can infer the existence of unobserved variables in a complex environment. CoRR (2019)
Sofiène Jerbi, Hendrik Poulsen Nautrup, Lea M. Trenkwalder, Hans J. Briegel, Vedran Dunjko
A framework for deep energy-based reinforcement learning with quantum speed-up. CoRR (2019)
Julius Wallnöfer, Alexey A. Melnikov, Wolfgang Dür, Hans J. Briegel
Machine learning for long-distance quantum communication. CoRR (2019)
Fulvio Flamini, Arne Hamann, Sofiène Jerbi, Lea M. Trenkwalder, Hendrik Poulsen Nautrup, Hans J. Briegel
Photonic architecture for reinforcement learning. CoRR (2019)
Alexey A. Melnikov, Adi Makmal, Hans J. Briegel
Benchmarking Projective Simulation in Navigation Problems. IEEE Access 6 (2018)
Hendrik Poulsen Nautrup, Nicolas Delfosse, Vedran Dunjko, Hans J. Briegel, Nicolai Friis
Optimizing Quantum Error Correction Codes with Reinforcement Learning. CoRR (2018)
Alexey A. Melnikov, Adi Makmal, Hans J. Briegel
Benchmarking projective simulation in navigation problems. CoRR (2018)
Simon Hangl, Vedran Dunjko, Hans J. Briegel, Justus H. Piater
Skill Learning by Autonomous Robotic Playing using Active Learning and Creativity. CoRR (2017)
Theeraphot Sriarunothai, Sabine Wölk, Gouri Shankar Giri, Nicolai Friis, Vedran Dunjko, Hans J. Briegel, Christof Wunderlich
Speeding-up the decision making of a learning agent using an ion trap quantum processor. CoRR (2017)
Alexey A. Melnikov, Hendrik Poulsen Nautrup, Mario Krenn, Vedran Dunjko, Markus Tiersch, Anton Zeilinger, Hans J. Briegel
Active learning machine learns to create new quantum experiments. CoRR (2017)
Vedran Dunjko, Hans J. Briegel
Machine learning \& artificial intelligence in the quantum domain. CoRR (2017)
Vedran Dunjko, Jacob M. Taylor, Hans J. Briegel
Advances in quantum reinforcement learning. SMC (2017)
Vedran Dunjko, Jacob M. Taylor, Hans J. Briegel
Quantum-enhanced machine learning. CoRR (2016)
Adi Makmal, Alexey A. Melnikov, Vedran Dunjko, Hans J. Briegel
Meta-learning within Projective Simulation. CoRR (2016)
Jens Clausen, Hans J. Briegel
Quantum machine learning with glow for episodic tasks and decision games. CoRR (2016)
Adi Makmal, Alexey A. Melnikov, Vedran Dunjko, Hans J. Briegel
Meta-learning within Projective Simulation. IEEE Access 4 (2016)
Jacob M. Taylor, Hans J. Briegel, Vedran Dunjko
Enhanced learning for agents in quantum-accessible environments. ESANN (2016)
Vedran Dunjko, Hans J. Briegel
Sequential quantum mixing for slowly evolving sequences of Markov chains. CoRR (2015)
Hans J. Briegel, Thomas Müller
A Chance for Attributable Agency. Minds Mach. 25 (3) (2015)
Vedran Dunjko, Hans J. Briegel
Quantum mixing of Markov chains for special distributions. CoRR (2015)
Alexey A. Melnikov, Adi Makmal, Vedran Dunjko, Hans J. Briegel
Projective simulation with generalization. CoRR (2015)
Julian Mautner, Adi Makmal, Daniel Manzano, Markus Tiersch, Hans J. Briegel
Projective Simulation for Classical Learning Agents: A Comprehensive Investigation. New Gener. Comput. 33 (1) (2015)
Vedran Dunjko, Jacob M. Taylor, Hans J. Briegel
Framework for learning agents in quantum environments. CoRR (2015)
Alexey A. Melnikov, Adi Makmal, Hans J. Briegel
Projective simulation applied to the grid-world and the mountain-car problem. CoRR (2014)
Alexey A. Melnikov, Adi Makmal, Hans J. Briegel
Projective simulation applied to the grid-world and the mountain-car problem. Artif. Intell. Res. 3 (3) (2014)
Julian Mautner, Adi Makmal, Daniel Manzano, Markus Tiersch, Hans J. Briegel
Projective simulation for classical learning agents: a comprehensive investigation CoRR (2013)
Hans Aschauer, John Calsamiglia, Marc Hein, Hans J. Briegel
Local invariants for multi-partite entangled states allowing for a simple entanglement criterion. Quantum Inf. Comput. 4 (5) (2004)
Robert Raussendorf, Hans J. Briegel
Computational model underlying the one-way quantum computer. Quantum Inf. Comput. 2 (6) (2002)
Hans J. Briegel, J. Ignacio Cirac, Wolfgang Dür, Steven J. van Enk, H. Jeff Kimble, Hideo Mabuchi, Peter Zoller
Physical Implementations for Quantum Communication in Quantum Networks. QCQC (1998)