← Authors

Goran Radanovic

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

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (8) 🐝 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