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Joao Paulo Jansch-Porto — most-cited papers & profile · Reinforcement Learning
← authors
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overview
Joao Paulo Jansch-Porto
3
papers ·
21
citations
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Most-cited papers
Convergence Guarantees of Policy Optimization Methods for Markovian Jump Linear Systems
2020 · 10 citations
Policy Optimization for Markovian Jump Linear Quadratic Control: Gradient-Based Methods and Global Convergence
2020 · 6 citations
Policy Learning of MDPs with Mixed Continuous/Discrete Variables: A Case Study on Model-Free Control of Markovian Jump Systems
2020 · 5 citations
Top co-authors
Geir Dullerud
· 3
Bin Hu
· 2
Bin Hu
· 1
Topics
Policy Gradient
Model-Based RL