Christos Dimitrakakis

• Interactive Inverse Reinforcement Learning for Co-operative Games, Co-operative-AI@NeurIPS 2021

• Inferential Induction: A Novel Framework for Bayesian Reinforcement Learning, ICBINB@NeurIPS 2020

• A Novel Individually Rational Objective In Multi-Agent Multi-Armed Bandit: Algorithms and Regret Bounds, AAMAS 2020

• Bayesian Reinforcement Learning via Deep, Sparse Sampling,  AISTATS 2020.

• Bayesian fairness, AAAI 2019.
• Randomised Bayesian Least-Squares Policy Iteration, EWRL 2018.
• Multi-View Decision Processes, [poster] [video] [slides] NIPS 2017.
• Calibrated fairness In bandits, FATML-17.
• Differential privacy for Bayesian Inference through posterior sampling, JMLR, 2017.
• Achieving privacy in the adversarial multi-armed bandit, AAAI 2017.
• Cover tree Bayesian reinforcement learning. J. Mach. Learn. Res. 15(1): 2313-2335 (2014)
• ABC Reinforcement Learning. ICML (3) 2013: 684-692
• Probabilistic inverse reinforcement learning in unknown environments. UAI 2013
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• Robust Bayesian Reinforcement Learning through Tight Lower Bounds. EWRL 2011: 177-188
• Bayesian Multitask Inverse Reinforcement Learning. EWRL 2011: 273-284

• Complexity of stochastic branch and bound methods for belief tree search in Bayesian reinforcement learning. CoRR abs/0912.5029 (2009)

• Rollout sampling approximate policy iteration. Machine Learning 72(3): 157-171 (2008)

• Nearly Optimal Exploration-Exploitation Decision Thresholds. ICANN (1) 2006: 850-859

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• Dimitrakakis, Christos; Liu, Yang; Parkes, David C. & Radanovic, Goran (2019). Bayesian fairness, Proceedings of the AAAI Conference on Artificial Intelligence. AAAI Press. ISSN 978-1-57735-809-1. doi: https%3A/doi.org/10.1609/aaai.v33i01.3301509.
• Ekström, Andreas; Forssen, Christian; Dimitrakakis, Christos; Dubhashi, Devdatt; Johansson, H. T. & Salomonsson, Hans [Show all 7 contributors for this article] (2019). Bayesian optimization in ab initio nuclear physics . Journal of Physics G: Nuclear and Particle Physics. ISSN 0954-3899. 46(9). doi: 10.1088/1361-6471/ab2b14.
• Dimitrakakis, Christos; Nelson, Blaine; Zhang, Zuhe; Mitrokotsa, Aikateirni & Rubinstein, Benjamin I.P. (2017). Differential privacy for Bayesian inference through posterior sampling. Journal of machine learning research. ISSN 1532-4435. 18(1).

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• Kleine Büning, Thomas; George, Anne-Marie & Dimitrakakis, Christos (2021). Interactive Inverse Reinforcement Learning for Cooperative Games.
• Dimitrakakis, Christos (2020). Differential privacy in energy systems.
• Jorge, Emilio; Eriksson, Hannes; Dimitrakakis, Christos; Basu, Debabrota & Grover, Divya (2020). Inferential Induction: A Novel Framework for Bayesian Reinforcement Learning.
• Eriksson, Hannes & Dimitrakakis, Christos (2020). Epistemic Risk-Sensitive Reinforcement Learning .
• Grover, Divya; Basu, Debabrota & Dimitrakakis, Christos (2020). Bayesian Reinforcement Learning via Deep, Sparse Sampling.
• Tossou, Aristide; Dimitrakakis, Christos; Rzepecki, Jaroslaw & Hofmann, Katja (2020). A Novel Individually Rational Objective In Multi-Agent Multi-Armed Bandits: Algorithms and Regret Bounds.
• Boroujeni, Mahrokh Ghoddousi; Fay, Dominik; Dimitrakakis, Christos & Kamgarpour, Maryam (2019). Privacy of Real-Time Pricing in Smart Grid.
• Dimitrakakis, Christos; Liu, Yang; Parkes, David C. & Radanovic, Goran (2019). Bayesian fairness.
• Dimitrakakis, Christos; Parkes, David C.; Radanovic, Goran & Tylkin, Paul (2017). Multi-View Decision Processes: The Helper-AI Problem.

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