Radanovic, Goran

38 publications

AISTATS 2025 Corruption Robust Offline Reinforcement Learning with Human Feedback Debmalya Mandal, Andi Nika, Parameswaran Kamalaruban, Adish Singla, Goran Radanovic

ICML 2025 Counterfactual Effect Decomposition in Multi-Agent Sequential Decision Making Stelios Triantafyllou, Aleksa Sukovic, Yasaman Zolfimoselo, Goran Radanovic

AISTATS 2025 Independent Learning in Performative Markov Potential Games Rilind Sahitaj, Paulius Sasnauskas, Yiğit Yalın, Debmalya Mandal, Goran Radanovic

AAAI 2025 On Corruption-Robustness in Performative Reinforcement Learning Vasilis Pollatos, Debmalya Mandal, Goran Radanovic

AISTATS 2025 Performative Reinforcement Learning with Linear Markov Decision Process Debmalya Mandal, Goran Radanovic

AISTATS 2025 Policy Teaching via Data Poisoning in Learning from Human Preferences Andi Nika, Jonathan Nöther, Debmalya Mandal, Parameswaran Kamalaruban, Adish Singla, Goran Radanovic

NeurIPS 2025 Stochastic Principal-Agent Problems: Computing and Learning Optimal History-Dependent Policies Jiarui Gan, R Majumdar, Debmalya Mandal, Goran Radanovic

AAAI 2025 Text-Diffusion Red-Teaming of Large Language Models: Unveiling Harmful Behaviors with Proximity Constraints Jonathan Nöther, Adish Singla, Goran Radanovic

ICML 2024 Agent-Specific Effects: A Causal Effect Propagation Analysis in Multi-Agent MDPs Stelios Triantafyllou, Aleksa Sukovic, Debmalya Mandal, Goran Radanovic

AISTATS 2024 Corruption-Robust Offline Two-Player Zero-Sum Markov Games Andi Nika, Debmalya Mandal, Adish Singla, Goran Radanovic

TMLR 2024 Defending Against Unknown Corrupted Agents: Reinforcement Learning of Adversarially Robust Nash Equilibria Andi Nika, Jonathan Nöther, Adish Singla, Goran Radanovic

ICMLW 2024 Defending Against Unknown Corrupted Agents: Reinforcement Learning of Adversarially Robust Nash Equilibria Andi Nika, Jonathan Nöther, Adish Singla, Goran Radanovic

IJCAI 2024 Learning Embeddings for Sequential Tasks Using Population of Agents Mridul Mahajan, Georgios Tzannetos, Goran Radanovic, Adish Singla

UAI 2024 Performative Reinforcement Learning in Gradually Shifting Environments Ben Rank, Stelios Triantafyllou, Debmalya Mandal, Goran Radanovic

ICLR 2024 Reward Design for Justifiable Sequential Decision-Making Aleksa Sukovic, Goran Radanovic

ICML 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

NeurIPSW 2024 Text-Diffusion Red-Teaming of Large Language Models: Unveiling Harmful Behaviors with Proximity Constraints Jonathan Nöther, Adish Singla, Goran Radanovic

TMLR 2023 Defense Against Reward Poisoning Attacks in Reinforcement Learning Kiarash Banihashem, Adish Singla, Goran Radanovic

AAAI 2023 Markov Decision Processes with Time-Varying Geometric Discounting Jiarui Gan, Annika Hennes, Rupak Majumdar, Debmalya Mandal, Goran Radanovic

AISTATS 2023 Online Defense Strategies for Reinforcement Learning Against Adaptive Reward Poisoning Andi Nika, Adish Singla, Goran Radanovic

AAAI 2023 Online Reinforcement Learning with Uncertain Episode Lengths Debmalya Mandal, Goran Radanovic, Jiarui Gan, Adish Singla, Rupak Majumdar

ICML 2023 Performative Reinforcement Learning Debmalya Mandal, Stelios Triantafyllou, Goran Radanovic

AAAI 2022 Admissible Policy Teaching Through Reward Design Kiarash Banihashem, Adish Singla, Jiarui Gan, Goran Radanovic

AAAI 2022 Bayesian Persuasion in Sequential Decision-Making Jiarui Gan, Rupak Majumdar, Goran Radanovic, Adish Singla

NeurIPS 2022 Envy-Free Policy Teaching to Multiple Agents Jiarui Gan, R Majumdar, Adish Singla, Goran Radanovic

NeurIPS 2021 Explicable Reward Design for Reinforcement Learning Agents Rati Devidze, Goran Radanovic, Parameswaran Kamalaruban, Adish Singla

NeurIPS 2021 On Blame Attribution for Accountable Multi-Agent Sequential Decision Making Stelios Triantafyllou, Adish Singla, Goran Radanovic

JMLR 2021 Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla

ICML 2020 Policy Teaching via Environment Poisoning: Training-Time Adversarial Attacks Against Reinforcement Learning Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla

AAAI 2020 The Effectiveness of Peer Prediction in Long-Term Forecasting Debmalya Mandal, Goran Radanovic, David C. Parkes

AAAI 2019 Bayesian Fairness Christos Dimitrakakis, Yang Liu, David C. Parkes, Goran Radanovic

ICML 2019 Learning to Collaborate in Markov Decision Processes Goran Radanovic, Rati Devidze, David Parkes, Adish Singla

AAAI 2018 Information Gathering with Peers: Submodular Optimization with Peer-Prediction Constraints Goran Radanovic, Adish Singla, Andreas Krause, Boi Faltings

AAAI 2018 Partial Truthfulness in Minimal Peer Prediction Mechanisms with Limited Knowledge Goran Radanovic, Boi Faltings

NeurIPS 2017 Multi-View Decision Processes: The Helper-AI Problem Christos Dimitrakakis, David C. Parkes, Goran Radanovic, Paul Tylkin

AAAI 2015 Incentives for Subjective Evaluations with Private Beliefs Goran Radanovic, Boi Faltings

AAAI 2014 Incentives for Truthful Information Elicitation of Continuous Signals Goran Radanovic, Boi Faltings

AAAI 2013 A Robust Bayesian Truth Serum for Non-Binary Signals Goran Radanovic, Boi Faltings