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Pedro Sequeira — most-cited papers & profile · Reinforcement Learning
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overview
Pedro Sequeira
6
papers ·
4
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Multiagent Inverse Reinforcement Learning via Theory of Mind Reasoning
2023 · 2 citations
Outcome-Guided Counterfactuals for Reinforcement Learning Agents from a Jointly Trained Generative Latent Space
2022 · 1 citations
A Framework for Understanding and Visualizing Strategies of RL Agents
2022 · 1 citations
Sensor Control for Information Gain in Dynamic, Sparse and Partially Observed Environments
2022
Global and Local Analysis of Interestingness for Competency-Aware Deep Reinforcement Learning
2022
IxDRL: A Novel Explainable Deep Reinforcement Learning Toolkit based on Analyses of Interestingness
2023
Top co-authors
Melinda Gervasio
· 4
Jesse Hostetler
· 3
Aravind Sundaresan
· 1
Daniel Elenius
· 1
David V. Pynadath
· 1
Eric Yeh
· 1
Haochen Wu
· 1
J. Brian Burns
· 1
Vidyasagar Sadhu
· 1
Topics
Model-Based RL
Safe RL
Exploration
Value-Based
Game AI
Multi-Agent
RLHF & Alignment