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← Authors

Goran Radanovic

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

Achievements

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+11 more ↓ 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (8) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (9)
🐝 Cross-Pollinator (9) 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (35) 🀝 Dynamic Duo (16) πŸ† Keyword Champion (2) πŸ† Grand Slam πŸ”₯ Unstoppable (7) πŸ—ƒοΈ Keyword Collector (90) πŸ’Ž Century Club (27) ⚑ Prolific Year (6) πŸš€ Conference Pioneer

Conferences

AAAI (7) AISTATS (6) ICML (6) NIPS (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

Applications (1) Privacy (1)

Keywords

reinforcement learning (8) markov decision process (5) regret bound (4) multi-agent system (4) policy teaching (3) game theory (2) adversarial attack (2) performative reinforcement learning (2) online learning (2) policy optimization (2) value iteration (2) reward design (2) environment poisoning (2) convergence analysis (1) prompt engineering (1) episodic learning (1) sequential decision making (1) robust optimization (1) gradient estimation (1) sequential decision-making (1)

Papers

On Corruption-Robustness in Performative Reinforcement Learning AAAI 2025 Counterfactual Effect Decomposition in Multi-Agent Sequential Decision Making ICML 2025 Corruption Robust Offline Reinforcement Learning with Human Feedback AISTATS 2025 Independent Learning in Performative Markov Potential Games AISTATS 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 Performative Reinforcement Learning in Gradually Shifting Environments UAI 2024 Corruption-Robust Offline Two-Player Zero-Sum Markov Games AISTATS 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 Agent-Specific Effects: A Causal Effect Propagation Analysis in Multi-Agent MDPs ICML 2024 Learning Embeddings for Sequential Tasks Using Population of Agents IJCAI 2024 Markov Decision Processes with Time-Varying Geometric Discounting AAAI 2023 Performative Reinforcement Learning ICML 2023 Online Defense Strategies for Reinforcement Learning Against Adaptive Reward Poisoning AISTATS 2023 Online Reinforcement Learning with Uncertain Episode Lengths AAAI 2023 Bayesian Persuasion in Sequential Decision-Making AAAI 2022 Envy-free Policy Teaching to Multiple Agents NIPS 2022 Admissible Policy Teaching through Reward Design AAAI 2022 Explicable Reward Design for Reinforcement Learning Agents NIPS 2021 On Blame Attribution for Accountable Multi-Agent Sequential Decision Making NIPS 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 Learning to Collaborate in Markov Decision Processes ICML 2019 Bayesian Fairness AAAI 2019 Multi-View Decision Processes: The Helper-AI Problem NIPS 2017