New Results
Fragmented Spatial Maps: State Abstraction and Efficient Planning from Surprisal
View ORCID ProfileMirko Klukas, Sugandha Sharma, YiLun Du, Tomas Lozano-Perez, Leslie Kaelbling, Ila Fiete
doi: https://doi.org/10.1101/2021.10.29.466499
Mirko Klukas
1BCS & McGovern Institute, MIT, Cambridge MA 02139, USA
Sugandha Sharma
1BCS & McGovern Institute, MIT, Cambridge MA 02139, USA
YiLun Du
2EECS & CSAIL, MIT, Cambridge MA 02139, USA
Tomas Lozano-Perez
2EECS & CSAIL, MIT, Cambridge MA 02139, USA
Leslie Kaelbling
2EECS & CSAIL, MIT, Cambridge MA 02139, USA
Ila Fiete
1BCS & McGovern Institute, MIT, Cambridge MA 02139, USA
Posted November 01, 2021.
Fragmented Spatial Maps: State Abstraction and Efficient Planning from Surprisal
Mirko Klukas, Sugandha Sharma, YiLun Du, Tomas Lozano-Perez, Leslie Kaelbling, Ila Fiete
bioRxiv 2021.10.29.466499; doi: https://doi.org/10.1101/2021.10.29.466499
Subject Area
Subject Areas
- Biochemistry (12968)
- Bioengineering (9845)
- Bioinformatics (31588)
- Biophysics (16281)
- Cancer Biology (13359)
- Cell Biology (19043)
- Clinical Trials (138)
- Developmental Biology (10320)
- Ecology (15331)
- Epidemiology (2067)
- Evolutionary Biology (19577)
- Genetics (12985)
- Genomics (17953)
- Immunology (13069)
- Microbiology (30553)
- Molecular Biology (12740)
- Neuroscience (66679)
- Paleontology (490)
- Pathology (2065)
- Pharmacology and Toxicology (3551)
- Physiology (5538)
- Plant Biology (11418)
- Synthetic Biology (3177)
- Systems Biology (7839)
- Zoology (1769)