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Goran Radanovic

14 papers at tracked venues · 7 at CORE A* · active 2024–2025

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Venues

AISTATS ×5ICML ×3AAAI ×2ICLR ×1IJCAI ×1NeurIPS ×1UAI ×1

Frequent coauthors

Andi Nika
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Debmalya Mandal
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Stelios Triantafyllou
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Rilind Sahitaj
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Vasilis Pollatos
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Jiarui Gan
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Jonathan Nöther
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Mridul Mahajan
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Ben Rank
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Aleksa Sukovic
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Papers

  1. Corruption Robust Offline Reinforcement Learning with Human Feedback
    AISTATS 2025 ·
    Debmalya Mandal
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  2. Counterfactual Effect Decomposition in Multi-Agent Sequential Decision Making
    ICML 2025 ·
    Stelios Triantafyllou
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  3. Independent Learning in Performative Markov Potential Games
    AISTATS 2025 ·
    Rilind Sahitaj
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  4. On Corruption-Robustness in Performative Reinforcement Learning
    AAAI 2025 ·
    Vasilis Pollatos
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  5. Performative Reinforcement Learning with Linear Markov Decision Process
    AISTATS 2025 ·
    Debmalya Mandal
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  6. Policy Teaching via Data Poisoning in Learning from Human Preferences
    AISTATS 2025 ·
    Andi Nika
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  7. Stochastic Principal-Agent Problems: Computing and Learning Optimal History-Dependent Policies
    NeurIPS 2025 ·
    Jiarui Gan
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  8. Text-Diffusion Red-Teaming of Large Language Models: Unveiling Harmful Behaviors with Proximity Constraints
    AAAI 2025 ·
    Jonathan Nöther
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  9. Agent-Specific Effects: A Causal Effect Propagation Analysis in Multi-Agent MDPs
    ICML 2024 ·
    Stelios Triantafyllou
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  10. Corruption-Robust Offline Two-Player Zero-Sum Markov Games
    AISTATS 2024 ·
    Andi Nika
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  11. Learning Embeddings for Sequential Tasks Using Population of Agents
    IJCAI 2024 ·
    Mridul Mahajan
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  12. Performative Reinforcement Learning in Gradually Shifting Environments
    UAI 2024 ·
    Ben Rank
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  13. Reward Design for Justifiable Sequential Decision-Making
    ICLR 2024 ·
    Aleksa Sukovic
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  14. Reward Model Learning vs. Direct Policy Optimization: A Comparative Analysis of Learning from Human Preferences
    ICML 2024 ·
    Andi Nika
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