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Carlo Alfano

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2020 – today

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2024
[i5]
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  - journals/corr/abs-2402-05187
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Carlo Alfano, Sebastian Towers, Silvia Sapora, Chris Lu, Patrick Rebeschini:
Meta-learning the mirror map in policy mirror descent. CoRR abs/2402.05187 (2024)
[i4]
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  - journals/corr/abs-2411-06568
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Carlo Alfano, Silvia Sapora, Jakob Nicolaus Foerster, Patrick Rebeschini, Yee Whye Teh:
Learning Loss Landscapes in Preference Optimization. CoRR abs/2411.06568 (2024)
2023
[c1]
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  - conf/nips/AlfanoYR23
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Carlo Alfano, Rui Yuan, Patrick Rebeschini:
A Novel Framework for Policy Mirror Descent with General Parameterization and Linear Convergence. NeurIPS 2023
[i3]
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  - journals/corr/abs-2301-13139
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Carlo Alfano, Rui Yuan, Patrick Rebeschini:
A Novel Framework for Policy Mirror Descent with General Parametrization and Linear Convergence. CoRR abs/2301.13139 (2023)
2022
[i2]
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  - journals/corr/abs-2209-15382
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Carlo Alfano, Patrick Rebeschini:
Linear Convergence for Natural Policy Gradient with Log-linear Policy Parametrization. CoRR abs/2209.15382 (2022)
2021
[i1]
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  - journals/corr/abs-2109-11692
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Carlo Alfano, Patrick Rebeschini:
Dimension-Free Rates for Natural Policy Gradient in Multi-Agent Reinforcement Learning. CoRR abs/2109.11692 (2021)

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