Raphael Avalos
Raphael Avalos
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Online Planning in POMDPs with State-Requests
In key real-world problems, full state information can sometimes be obtained but only at a high cost, such as by activating more …
Raphael Avalos
,
Eugenio Bargiacchi
,
Ann Nowe
,
Diederik M. Roijers
,
Frans a Oliehoek
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Local Advantage Networks for Multi-Agent Reinforcement Learning in Dec-POMDPs
Many recent successful off-policy multi-agent reinforcement learning (MARL) algorithms for cooperative partially observable …
Raphael Avalos
,
Mathieu Reymond
,
Ann Nowe
,
Diederik M. Roijers
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