Context tree maximizing reinforcement learning
Nguyen, Phuong; Sunehag, Peter; Hutter, Marcus
Description
Recent developments in reinforcement learning for non-Markovian problems witness a surge in history-based methods, among which we are particularly interested in two frameworks, ΦMDP and MC-AIXI-CTW. ΦMDP attempts to reduce the general RL problem, where
| Collections | ANU Research Publications |
|---|---|
| Date published: | 2012 |
| Type: | Conference paper |
| URI: | http://hdl.handle.net/1885/68805 |
| Source: | Proceedings of the National Conference on Artificial Intelligence |
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| File | Description | Size | Format | Image |
|---|---|---|---|---|
| 01_Nguyen_Context_tree_maximizing_2012.pdf | 501.87 kB | Adobe PDF | Request a copy |
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