Kirschner, Johannes

15 publications

AISTATS 2023 Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning Volodymyr Tkachuk, Seyed Alireza Bakhtiari, Johannes Kirschner, Matej Jusup, Ilija Bogunovic, Csaba Szepesvári

JMLR 2023 Linear Partial Monitoring for Sequential Decision Making: Algorithms, Regret Bounds and Applications Johannes Kirschner, Tor Lattimore, Andreas Krause

NeurIPS 2023 Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-Off Zichen Zhang, Johannes Kirschner, Junxi Zhang, Francesco Zanini, Alex Ayoub, Masood Dehghan, Dale Schuurmans

ICLR 2023 Near-Optimal Policy Identification in Active Reinforcement Learning Xiang Li, Viraj Mehta, Johannes Kirschner, Ian Char, Willie Neiswanger, Jeff Schneider, Andreas Krause, Ilija Bogunovic

NeurIPS 2023 Regret Minimization via Saddle Point Optimization Johannes Kirschner, Alireza Bakhtiari, Kushagra Chandak, Volodymyr Tkachuk, Csaba Szepesvari

COLT 2021 Asymptotically Optimal Information-Directed Sampling Johannes Kirschner, Tor Lattimore, Claire Vernade, Csaba Szepesvari

ICML 2021 Bias-Robust Bayesian Optimization via Dueling Bandits Johannes Kirschner, Andreas Krause

ALT 2021 Efficient Pure Exploration for Combinatorial Bandits with Semi-Bandit Feedback Marc Jourdan, Mojmír Mutný, Johannes Kirschner, Andreas Krause

AISTATS 2020 Distributionally Robust Bayesian Optimization Johannes Kirschner, Ilija Bogunovic, Stefanie Jegelka, Andreas Krause

AAAI 2020 Experimental Design for Optimization of Orthogonal Projection Pursuit Models Mojmir Mutny, Johannes Kirschner, Andreas Krause

COLT 2020 Information Directed Sampling for Linear Partial Monitoring Johannes Kirschner, Tor Lattimore, Andreas Krause

ICML 2019 Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces Johannes Kirschner, Mojmir Mutny, Nicole Hiller, Rasmus Ischebeck, Andreas Krause

ICLR 2019 Information-Directed Exploration for Deep Reinforcement Learning Nikolay Nikolov, Johannes Kirschner, Felix Berkenkamp, Andreas Krause

NeurIPS 2019 Stochastic Bandits with Context Distributions Johannes Kirschner, Andreas Krause

COLT 2018 Information Directed Sampling and Bandits with Heteroscedastic Noise Johannes Kirschner, Andreas Krause