Alec Koppel

Venues

Frequent coauthors

Papers

1. Approximate Equivariance in Reinforcement Learning
   AISTATS 2025 ·

   Jung Yeon Park

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2. Collab: Controlled Decoding using Mixture of Agents for LLM Alignment
   ICLR 2025 ·

   Souradip Chakraborty

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3. Confidence-Controlled Exploration: Efficient Sparse-Reward Policy Learning for Robot Navigation
   IROS 2025 ·

   Bhrij Patel

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4. Decentralized Convergence to Equilibrium Prices in Trading Networks
   AAAI 2025 ·

   Edwin Lock

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5. GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-Time Alignment
   ICLR 2025 ·

   Yuancheng Xu

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6. Learning in Herding Mean Field Games: Single-Loop Algorithm with Finite-Time Convergence Analysis
   AISTATS 2025 ·

   Sihan Zeng

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7. Learning in Stackelberg Mean Field Games: A Non-Asymptotic Analysis
   NeurIPS 2025 ·

   Sihan Zeng

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8. Efficient Inverse Multiagent Learning
   ICLR 2024 ·

   Denizalp Goktas

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9. Information-Directed Pessimism for Offline Reinforcement Learning
   ICML 2024 · Alec Koppel
10. MaxMin-RLHF: Alignment with Diverse Human Preferences
    ICML 2024 ·

    Souradip Chakraborty

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11. PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback
    ICLR 2024 ·

    Souradip Chakraborty

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12. Sharpened Lazy Incremental Quasi-Newton Method
    AISTATS 2024 ·

    Aakash Sunil Lahoti

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13. Towards Global Optimality for Practical Average Reward Reinforcement Learning without Mixing Time Oracles
    ICML 2024 ·

    Bhrij Patel

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