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Andrea Tacchetti

Bibliography

  1. A Neural Architecture for Designing Truthful and Efficient Auctions

  2. Neural Design of Contests and All-Pay Auctions using Multi-Agent Simulation

  3. Should I tear down this wall? Optimizing social metrics by evaluating novel actions

  4. Evaluating Strategic Structures in Multi-Agent Inverse Reinforcement Learning

  5. Learning to Play No-Press Diplomacy with Best Response Policy Iteration

  6. D3C: Reducing the Price of Anarchy in Multi-Agent Learning

  7. Sample-based Approximation of Nash in Large Many-Player Games via Gradient Descent

  8. Relational inductive biases, deep learning, and graph networks

  9. Relational Forward Models for Multi-Agent Learning

  10. Visual Interaction Networks

  11. Implementation and tuning of the Extended Kalman Filter for a sensorless drive working with arbitrary stepper motors and cable lengths

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