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Manuela Veloso — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Manuela Veloso
19
papers ·
276
citations ·
66
h-index
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Most-cited papers
MineRL: A Large-Scale Dataset of Minecraft Demonstrations
2019 · 96 citations
Conservative Q-Improvement: Reinforcement Learning for an Interpretable Decision-Tree Policy
2019 · 22 citations
Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods
2021 · 16 citations
ABIDES-Gym: Gym Environments for Multi-Agent Discrete Event Simulation and Application to Financial Markets
2021 · 2 citations
ASPiRe:Adaptive Skill Priors for Reinforcement Learning
2022 · 2 citations
Accelerating Cutting-Plane Algorithms via Reinforcement Learning Surrogates
2023 · 1 citations
Deep Reinforcement Learning and Mean-Variance Strategies for Responsible Portfolio Optimization
2024 · 1 citations
Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations
2022
Top co-authors
Nicholay Topin
· 3
Daniele Magazzeni
· 2
Mengda Xu
· 2
Michael Cashmore
· 2
Parisa Zehtabi
· 2
Selim Amrouni
· 2
Tucker Balch
· 2
Aaron M. Roth
· 1
Aymeric Moulin
· 1
Brandon Houghton
· 1
Cayden Codel
· 1
Fei Fang
· 1
Topics
Value-Based
Policy Gradient
Safe RL
Game AI
Exploration
Model-Based RL
Multi-Agent
Offline RL
Meta-RL