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Goran Radanovic

27 papers · 2017–2025 · 8 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+9 more ↓ πŸ—ΊοΈ Taxonomy Completionist (44) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🀝 Dynamic Duo (16) πŸ† Keyword Champion (3) πŸ† Grand Slam πŸš€ Conference Pioneer πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze 🌈 Renaissance Researcher (6) πŸ—ƒοΈ Keyword Collector (125)

Venues

AAAI (7) AISTATS (6) ICML (6) NeurIPS (4) ICLR (1) IJCAI (1) JMLR (1) UAI (1)

Top co-authors

Adish Singla (16) Debmalya Mandal (12) Jiarui Gan (5) Andi Nika (5) Stelios Triantafyllou (5) Rati Devidze (4) Parameswaran Kamalaruban (4) Aleksa Sukovic (3) Rupak Majumdar (3) Christos Dimitrakakis (2)

Research topics

Machine Learning (22) Reinforcement Learning (20) Artificial Intelligence (19) Core AI (19) Methods (18) Learning Types (16) Optimization & Theory (9) Mathematics & Optimization (4) Application Areas (4) Optimization (4) Applications (3) Core Methods (2) Deep Learning (1) Healthcare & Medicine (1) Knowledge & Reasoning (1)

Keywords

reinforcement learning (9) markov decision process (5) performative reinforcement learning (5) multi-agent system (5) regret bound (4) sequential decision making (3) adversarial attack (3) reward design (3) policy teaching (3) shapley value (2) game theory (2) environment poisoning (2) reward model (2) direct preference optimization (2) policy optimization (2) policy learning (2) sample complexity (2) online learning (2) multi-agent reinforcement learning (2) offline reinforcement learning (2)

Papers

Corruption Robust Offline Reinforcement Learning with Human Feedback AISTATS 2025 Counterfactual Effect Decomposition in Multi-Agent Sequential Decision Making ICML 2025 Independent Learning in Performative Markov Potential Games AISTATS 2025 On Corruption-Robustness in Performative Reinforcement Learning AAAI 2025 Performative Reinforcement Learning with Linear Markov Decision Process AISTATS 2025 Policy Teaching via Data Poisoning in Learning from Human Preferences AISTATS 2025 Text-Diffusion Red-Teaming of Large Language Models: Unveiling Harmful Behaviors with Proximity Constraints AAAI 2025 Agent-Specific Effects: A Causal Effect Propagation Analysis in Multi-Agent MDPs ICML 2024 Corruption-Robust Offline Two-Player Zero-Sum Markov Games AISTATS 2024 Learning Embeddings for Sequential Tasks Using Population of Agents IJCAI 2024 Performative Reinforcement Learning in Gradually Shifting Environments UAI 2024 Reward Design for Justifiable Sequential Decision-Making ICLR 2024 Reward Model Learning vs. Direct Policy Optimization: A Comparative Analysis of Learning from Human Preferences ICML 2024 Markov Decision Processes with Time-Varying Geometric Discounting AAAI 2023 Online Defense Strategies for Reinforcement Learning Against Adaptive Reward Poisoning AISTATS 2023 Online Reinforcement Learning with Uncertain Episode Lengths AAAI 2023 Performative Reinforcement Learning ICML 2023 Admissible Policy Teaching through Reward Design AAAI 2022 Bayesian Persuasion in Sequential Decision-Making AAAI 2022 Envy-free Policy Teaching to Multiple Agents NeurIPS 2022 Explicable Reward Design for Reinforcement Learning Agents NeurIPS 2021 On Blame Attribution for Accountable Multi-Agent Sequential Decision Making NeurIPS 2021 Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks JMLR 2021 Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning ICML 2020 Bayesian Fairness AAAI 2019 Learning to Collaborate in Markov Decision Processes ICML 2019 Multi-View Decision Processes: The Helper-AI Problem NeurIPS 2017