Goran Radanovic

According to our database, Goran Radanovic authored at least 50 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Corruption-Robust Offline Two-Player Zero-Sum Markov Games.

Andi Nika, Debmalya Mandal, Adish Singla, Goran Radanovic

CoRR, 2024

Reward Model Learning vs. Direct Policy Optimization: A Comparative Analysis of Learning from Human Preferences.

Andi Nika, Debmalya Mandal, Parameswaran Kamalaruban, Georgios Tzannetos, Goran Radanovic, Adish Singla

CoRR, 2024

Reward Design for Justifiable Sequential Decision-Making.

Aleksa Sukovic, Goran Radanovic

CoRR, 2024

Performative Reinforcement Learning in Gradually Shifting Environments.

Ben Rank, Stelios Triantafyllou, Debmalya Mandal, Goran Radanovic

CoRR, 2024

Corruption Robust Offline Reinforcement Learning with Human Feedback.

Debmalya Mandal, Andi Nika, Parameswaran Kamalaruban, Adish Singla, Goran Radanovic

CoRR, 2024

2023

Defense Against Reward Poisoning Attacks in Reinforcement Learning.

Kiarash Banihashem, Adish Singla, Goran Radanovic

Trans. Mach. Learn. Res., 2023

Agent-Specific Effects.

Stelios Triantafyllou, Aleksa Sukovic, Debmalya Mandal, Goran Radanovic

CoRR, 2023

Sequential Principal-Agent Problems with Communication: Efficient Computation and Learning.

Jiarui Gan, Rupak Majumdar, Debmalya Mandal, Goran Radanovic

CoRR, 2023

Learning Embeddings for Sequential Tasks Using Population of Agents.

Mridul Mahajan, Georgios Tzannetos, Goran Radanovic, Adish Singla

CoRR, 2023

Performative Reinforcement Learning.

Debmalya Mandal, Stelios Triantafyllou, Goran Radanovic

Proceedings of the International Conference on Machine Learning, 2023

Towards Computationally Efficient Responsibility Attribution in Decentralized Partially Observable MDPs.

Stelios Triantafyllou, Goran Radanovic

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Implicit Poisoning Attacks in Two-Agent Reinforcement Learning: Adversarial Policies for Training-Time Attacks.

Mohammad Mohammadi, Jonathan Nöther, Debmalya Mandal, Adish Singla, Goran Radanovic

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Online Defense Strategies for Reinforcement Learning Against Adaptive Reward Poisoning.

Andi Nika, Adish Singla, Goran Radanovic

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Online Reinforcement Learning with Uncertain Episode Lengths.

Debmalya Mandal, Goran Radanovic, Jiarui Gan, Adish Singla, Rupak Majumdar

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Markov Decision Processes with Time-Varying Geometric Discounting.

Jiarui Gan, Annika Hennes, Rupak Majumdar, Debmalya Mandal, Goran Radanovic

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Envy-free Policy Teaching to Multiple Agents.

Jiarui Gan, Rupak Majumdar, Adish Singla, Goran Radanovic

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sequential Decision Making With Information Asymmetry (Invited Talk).

Jiarui Gan, Rupak Majumdar, Goran Radanovic, Adish Singla

Proceedings of the 33rd International Conference on Concurrency Theory, 2022

Actual Causality and Responsibility Attribution in Decentralized Partially Observable Markov Decision Processes.

Stelios Triantafyllou, Adish Singla, Goran Radanovic

Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

Bayesian Persuasion in Sequential Decision-Making.

Jiarui Gan, Rupak Majumdar, Goran Radanovic, Adish Singla

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Admissible Policy Teaching through Reward Design.

Kiarash Banihashem, Adish Singla, Jiarui Gan, Goran Radanovic

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks.

Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla

J. Mach. Learn. Res., 2021

Diversity in News Recommendation (Dagstuhl Perspectives Workshop 19482).

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

Dagstuhl Manifestos, 2021

Reinforcement Learning for Education: Opportunities and Challenges.

Adish Singla, Anna N. Rafferty, Goran Radanovic, Neil T. Heffernan

CoRR, 2021

On Blame Attribution for Accountable Multi-Agent Sequential Decision Making.

Stelios Triantafyllou, Adish Singla, Goran Radanovic

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Explicable Reward Design for Reinforcement Learning Agents.

Rati Devidze, Goran Radanovic, Parameswaran Kamalaruban, Adish Singla

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Robust Helpful Behaviors in Two-Player Cooperative Atari Environments.

Paul Tylkin, Goran Radanovic, David C. Parkes

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

Diversity in News Recommendations.

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

CoRR, 2020

How do fairness definitions fare? Testing public attitudes towards three algorithmic definitions of fairness in loan allocations.

Nripsuta Ani Saxena, Karen Huang, Evan DeFilippis, Goran Radanovic, David C. Parkes, Yang Liu

Artif. Intell., 2020

Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning.

Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla

Proceedings of the 37th International Conference on Machine Learning, 2020

The Effectiveness of Peer Prediction in Long-Term Forecasting.

Debmalya Mandal, Goran Radanovic, David C. Parkes

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Learning to Collaborate in Markov Decision Processes.

Goran Radanovic, Rati Devidze, David C. Parkes, Adish Singla

Proceedings of the 36th International Conference on Machine Learning, 2019

How Do Fairness Definitions Fare?: Examining Public Attitudes Towards Algorithmic Definitions of Fairness.

Nripsuta Ani Saxena, Karen Huang, Evan DeFilippis, Goran Radanovic, David C. Parkes, Yang Liu

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

Bayesian Fairness.

Christos Dimitrakakis, Yang Liu, David C. Parkes, Goran Radanovic

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Information Gathering With Peers: Submodular Optimization With Peer-Prediction Constraints.

Goran Radanovic, Adish Singla, Andreas Krause, Boi Faltings

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Partial Truthfulness in Minimal Peer Prediction Mechanisms With Limited Knowledge.

Goran Radanovic, Boi Faltings

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Game Theory for Data Science: Eliciting Truthful Information

Boi Faltings, Goran Radanovic

Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers, ISBN: 978-3-031-01577-9, 2017

Mechanismen zur Beschaffung korrekter Daten.

Boi Faltings, Goran Radanovic

Inform. Spektrum, 2017

Calibrated Fairness in Bandits.

Yang Liu, Goran Radanovic, Christos Dimitrakakis, Debmalya Mandal, David C. Parkes

CoRR, 2017

Peer Truth Serum: Incentives for Crowdsourcing Measurements and Opinions.

Boi Faltings, Radu Jurca, Goran Radanovic

CoRR, 2017

Subjective fairness: Fairness is in the eye of the beholder.

Christos Dimitrakakis, Yang Liu, David C. Parkes, Goran Radanovic

CoRR, 2017

Multi-View Decision Processes: The Helper-AI Problem.

Christos Dimitrakakis, David C. Parkes, Goran Radanovic, Paul Tylkin

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Elicitation and Aggregation of Crowd Information.

Goran Radanovic

PhD thesis, 2016

Incentives for Effort in Crowdsourcing Using the Peer Truth Serum.

Goran Radanovic, Boi Faltings, Radu Jurca

ACM Trans. Intell. Syst. Technol., 2016

Learning to Scale Payments in Crowdsourcing with PropeRBoost.

Goran Radanovic, Boi Faltings

Proceedings of the Fourth AAAI Conference on Human Computation and Crowdsourcing, 2016

Limiting the Influence of Low Quality Information in Community Sensing.

Goran Radanovic, Boi Faltings

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

2015

Incentivizing truthful responses with the logarithmic peer truth serum.

Goran Radanovic, Boi Faltings

Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015

Incentive Schemes for Participatory Sensing.

Goran Radanovic, Boi Faltings

Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Incentives for Subjective Evaluations with Private Beliefs.

Goran Radanovic, Boi Faltings

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Incentives for Truthful Information Elicitation of Continuous Signals.

Goran Radanovic, Boi Faltings

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

A Robust Bayesian Truth Serum for Non-Binary Signals.

Goran Radanovic, Boi Faltings

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013