2021

• Kiarash Banihashem, Adish Singla, Goran Radanovic. 2021. Defense Against Reward Poisoning Attacks in Reinforcement Learning. arXiv:2102.05776.
• Stelios Triantafyllou, Adish Singla, Goran Radanovic. 2021. On Blame Attribution for Accountable Multi-Agent Sequential Decision Making. arXiv:2107.11927.
• Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla. 2021. Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks. arXiv:2011.10824.
• Jiarui Gan, Rupak Majumdar, Goran Radanovic, Adish Singla. 2021. Bayesian Persuasion in Sequential Decision-Making. arXiv:2106.05137.
• Paul Tylkin, Goran Radanovic, David C. Parkes. 2021. Learning robust helpful behaviors in two-player cooperative Atari environments. In Proceedings of the 20th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS'21).
• Abraham Bernstein, Claes H. de Vreese, Natali Helberger, Wolfgang Schulz, Katharina Anna Zweig, Christian Baden, Michael A. Beam, Marc P. Hauer, Lucien Heitz, Pascal Jürgens, Christian Katzenbach, Benjamin Kille, Beate Klimkiewicz, Wiebke Loosen, Judith Möller, Goran Radanovic, Guy Shani, Nava Tintarev, Suzanne Tolmeijer, Wouter van Atteveldt, Sanne Vrijenhoek, Theresa Zueger. 2021. Diversity in News Recommendation (Dagstuhl Perspectives Workshop 19482). Dagstuhl Manifestos 9(1): 43-61.

2020

• Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla. 2020. Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning. In Proceedings of the 37th International Conference on Machine Learning (ICML'20).
• Nripsuta Ani Saxena, Karen Huang, Evan DeFilippis, Goran Radanovic, David C. Parkes, and Yang Liu. 2019. How do Fairness Definitions Fare? Testing Public Attitudes Towards Three Algorithmic Definitions of Fairness in Loan Allocations. Artificial Intelligence, 283:103238.
• Debmalya Mandal, Goran Radanovic, David C. Parkes. 2020. The Effectiveness of Peer Prediction in Long-Term Forecasting. In Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI'20).

2019

• Christos Dimitrakakis, Yang Liu, David C. Parkes, and Goran Radanovic. 2019. Bayesian Fairness. In Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI'19).
• Nripsuta Ani Saxena, Karen Huang, Evan DeFilippis, Goran Radanovic, David C. Parkes, and Yang Liu. 2019. How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness. In AAAI/ACM conference on Artificial Intelligence, Ethics, and Society.
• Goran Radanovic, Rati Devidze, David C. Parkes, and Adish Singla. 2019. Learning to Collaborate in Markov Decision Processes. Proceedings of the 36th International Conference on Machine Learning (ICML'19).

2018

• Goran Radanovic, Adish Singla, Andreas Krause, and Boi Faltings. 2018. Information Gathering with Peers: Submodular Optimization with Peer-Prediction Constraints. Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI'18).
• Goran Radanovic and Boi Faltings. 2018. Partial Truthfulness in Minimal Peer Prediction Mechanisms with Limited Knowledge. Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI'18).

2017

• Boi Faltings and Goran Radanovic. 2017. Game Theory for Data Science: Eliciting Truthful Information. Morgan & Claypool Publishers.
• Boi Faltings and Goran Radanovic. 2017. Mechanismen zur Beschaffung korrekter Daten. Informatik-Spektrum, 40, Pp. 64–74.
• Christos Dimitrakakis, David C. Parkes, Goran Radanovic, and Paul Tylkin. 2017. Multi-View Decision Processes: The Helper-AI Problem. The 31st Annual Conference on Neural Information Processing Systems (NeurIPS'17).
• Yang Liu, Goran Radanovic, Christos Dimitrakakis, Debmalya Mandal, David C. Parkes. 2017. Calibrated Fairness in Bandits. The 4th Workshop on Fairness, Accountability, and Transparency in Machine Learning (FAT/ML 2017).
• Boi Faltings, Radu Jurca, and Goran Radanovic. 2017. Peer Truth Serum: Incentives for Crowdsourcing Measurements and Opinions. arXiv:1704.05269.

2016

• Goran Radanovic. 2016. Elicitation and Aggregation of Crowd Information. PhD Thesis.
• Goran Radanovic, Boi Faltings, and Radu Jurca. 2016. Incentives for effort in crowdsourcing using the peer truth serum. ACM Transactions on Intelligent Systems and Technology (TIST), 7(4): 48:1–48:28.
• Goran Radanovic and Boi Faltings. 2016. Learning to Scale Payments in Crowdsourcing with PropeRBoost. In Proceedings of the Fourth AAAI conference on Conference on Human Computation and Crowdsourcing (HCOMP'16).
• Goran Radanovic and Boi Faltings. 2016. Limiting the Influence of Low Quality Information in Community Sensing. In Proceedings of the 2016 International Conference on Autonomous Agents and Multiagent Systems (AAMAS'16).

2015

• Goran Radanovic and Boi Faltings. 2015. Incentive Schemes for Participatory Sensing. In Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems (AAMAS'15).
• Radanovic G., and Faltings B. 2015. Incentivizing truthful responses with the logarithmic peer truth serum. In Adjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers.
• Goran Radanovic and Boi Faltings. 2015. Incentives for Subjective Evaluations with Private Beliefs. In Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI'15).

2014

• Goran Radanovic and Boi Faltings. 2014. Incentives for Truthful Information Elicitation of Continuous Signals. In Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI'14).

2013

• Goran Radanovic and Boi Faltings. 2013. A Robust Bayesian Truth Serum for Non-binary Signals. In Proceedings of the 27th AAAI Conference on Artificial Intelligence (AAAI'13).