Guillermo Pérez
6 papers · 2007–2024 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Full 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird
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Research topics
Keywords
markov decision process
(3)
reinforcement learning
(2)
optimal transport
(1)
policy learning
(1)
formal verification
(1)
message passing
(1)
partially observable environment
(1)
variational autoencoder
(1)
average reward
(1)
graph convolution
(1)
graph convolutional network
(1)
policy distillation
(1)
latent space model
(1)
weisfeiler-lehman algorithm
(1)
belief update
(1)
near-optimal algorithm
(1)
distinguishing power
(1)
policy computation
(1)
graph neural network
(1)
probabilistic model checking
(1)
Papers
The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models
ICLR 2024
Wasserstein Auto-encoded MDPs: Formal Verification of Efficiently Distilled RL Policies with Many-sided Guarantees
ICLR 2023
Let’s Agree to Degree: Comparing Graph Convolutional Networks in the Message-Passing Framework
ICML 2021
Finite-Memory Near-Optimal Learning for Markov Decision Processes with Long-Run Average Reward
UAI 2020
Reduction Techniques for Model Checking and Learning in MDPs
IJCAI 2017
MIMUS: A Multimodal and Multilingual Dialogue System for the Home Domain
ACL 2007