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Carlos Riquelme — most-cited papers & profile · Reinforcement Learning
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Carlos Riquelme
10
papers ·
325
citations ·
11
h-index
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling
2018 · 14 citations
Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates
2019 · 6 citations
Google Research Football: A Novel Reinforcement Learning Environment
2019
Top co-authors
Damien Vincent
· 2
Sylvain Gelly
· 2
Andre Barreto
· 1
Anton Raichuk
· 1
George Tucker
· 1
Gergely Neu
· 1
Hartmut Maennel
· 1
Hugo Penedones
· 1
Jasper Snoek
· 1
Karol Kurach
· 1
Lasse Espeholt
· 1
Marcin Michalski
· 1
Topics
Value-Based
Exploration
Model-Based RL
Offline RL
Multi-Agent
Game AI
Policy Gradient