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Feature reinforcement learning using looping suffix trees

Daswani, Mayank; Sunehag, Peter; Hutter, Marcus


There has recently been much interest in history-based methods using suffix trees to solve POMDPs. However, these suffix trees cannot efficiently represent environments that have long-term dependencies. We extend the recently introduced CTΦMDP algorithm to the space of looping suffix trees which have previously only been used in solving deterministic POMDPs. The resulting algorithm replicates results from CTΦMDP for environments with short term dependencies, while it outperforms LSTM-based...[Show more]

CollectionsANU Research Publications
Date published: 2012-12
Type: Conference paper
Book Title: 10th European Workshop on Reinforcement Learning: JMLR: Workshop and Conference Proceedings 24
Access Rights: Open Access


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