| 2025 | AAAI | Text-Diffusion Red-Teaming of Large Language Models: Unveiling Harmful Behaviors with Proximity Constraints. | Jonathan Nther, Adish Singla, Goran Radanovic |
| 2025 | AAAI | On Corruption-Robustness in Performative Reinforcement Learning. | Vasilis Pollatos, Debmalya Mandal, Goran Radanovic |
| 2025 | AISTATS | Corruption Robust Offline Reinforcement Learning with Human Feedback. | Debmalya Mandal, Andi Nika, Parameswaran Kamalaruban, Adish Singla, Goran Radanovic |
| 2025 | AISTATS | Performative Reinforcement Learning with Linear Markov Decision Process. | Debmalya Mandal, Goran Radanovic |
| 2025 | AISTATS | Policy Teaching via Data Poisoning in Learning from Human Preferences. | Andi Nika, Jonathan Nther, Debmalya Mandal, Parameswaran Kamalaruban, Adish Singla, Goran Radanovic |
| 2025 | AISTATS | Independent Learning in Performative Markov Potential Games. | Rilind Sahitaj, Paulius Sasnauskas, Yigit Yalin, Debmalya Mandal, Goran Radanovic |
| 2025 | ICML | Counterfactual Effect Decomposition in Multi-Agent Sequential Decision Making. | Stelios Triantafyllou, Aleksa Sukovic, Yasaman Zolfimoselo, Goran Radanovic |
| 2024 | AISTATS | Corruption-Robust Offline Two-Player Zero-Sum Markov Games. | Andi Nika, Debmalya Mandal, Adish Singla, Goran Radanovic |
| 2024 | ICLR | Reward Design for Justifiable Sequential Decision-Making. | Aleksa Sukovic, Goran Radanovic |
| 2024 | ICML | 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 |
| 2024 | ICML | Agent-Specific Effects: A Causal Effect Propagation Analysis in Multi-Agent MDPs. | Stelios Triantafyllou, Aleksa Sukovic, Debmalya Mandal, Goran Radanovic |
| 2024 | IJCAI | Learning Embeddings for Sequential Tasks Using Population of Agents. | Mridul Mahajan, Georgios Tzannetos, Goran Radanovic, Adish Singla |
| 2024 | UAI | Performative Reinforcement Learning in Gradually Shifting Environments. | Ben Rank, Stelios Triantafyllou, Debmalya Mandal, Goran Radanovic |
| 2023 | AAAI | Markov Decision Processes with Time-Varying Geometric Discounting. | Jiarui Gan, Annika Hennes, Rupak Majumdar, Debmalya Mandal, Goran Radanovic |
| 2023 | AAAI | Online Reinforcement Learning with Uncertain Episode Lengths. | Debmalya Mandal, Goran Radanovic, Jiarui Gan, Adish Singla, Rupak Majumdar |
| 2023 | AISTATS | Online Defense Strategies for Reinforcement Learning Against Adaptive Reward Poisoning. | Andi Nika, Adish Singla, Goran Radanovic |
| 2023 | ICML | Performative Reinforcement Learning. | Debmalya Mandal, Stelios Triantafyllou, Goran Radanovic |
| 2022 | AAAI | Admissible Policy Teaching through Reward Design. | Kiarash Banihashem, Adish Singla, Jiarui Gan, Goran Radanovic |
| 2022 | AAAI | Bayesian Persuasion in Sequential Decision-Making. | Jiarui Gan, Rupak Majumdar, Goran Radanovic, Adish Singla |
| 2022 | AIES | Actual Causality and Responsibility Attribution in Decentralized Partially Observable Markov Decision Processes. | Stelios Triantafyllou, Adish Singla, Goran Radanovic |
| 2022 | CONCUR | Sequential Decision Making With Information Asymmetry (Invited Talk). | Jiarui Gan, Rupak Majumdar, Goran Radanovic, Adish Singla |
| 2020 | AAAI | The Effectiveness of Peer Prediction in Long-Term Forecasting. | Debmalya Mandal, Goran Radanovic, David C. Parkes |
| 2020 | ICML | Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning. | Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla |
| 2019 | AAAI | Bayesian Fairness. | Christos Dimitrakakis, Yang Liu, David C. Parkes, Goran Radanovic |
| 2019 | AIES | 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 |
| 2019 | ICML | Learning to Collaborate in Markov Decision Processes. | Goran Radanovic, Rati Devidze, David C. Parkes, Adish Singla |
| 2018 | AAAI | Partial Truthfulness in Minimal Peer Prediction Mechanisms With Limited Knowledge. | Goran Radanovic, Boi Faltings |
| 2018 | AAAI | Information Gathering With Peers: Submodular Optimization With Peer-Prediction Constraints. | Goran Radanovic, Adish Singla, Andreas Krause, Boi Faltings |
| 2016 | HCOMP | Learning to Scale Payments in Crowdsourcing with PropeRBoost. | Goran Radanovic, Boi Faltings |
| 2015 | AAAI | Incentives for Subjective Evaluations with Private Beliefs. | Goran Radanovic, Boi Faltings |
| 2014 | AAAI | Incentives for Truthful Information Elicitation of Continuous Signals. | Goran Radanovic, Boi Faltings |
| 2013 | AAAI | A Robust Bayesian Truth Serum for Non-Binary Signals. | Goran Radanovic, Boi Faltings |