Learning Transferable Policies for Autonomous Planetary Landing via Deep Reinforcement Learning

Mapping Intimacies ◽

10.2514/6.2021-4006 ◽

2021 ◽

Author(s):

Giulia Ciabatti ◽

Shreyansh Daftry ◽

Roberto Capobianco

Keyword(s):

Reinforcement Learning ◽

Planetary Landing

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Adaptive generalized ZEM-ZEV feedback guidance for planetary landing via a deep reinforcement learning approach

Acta Astronautica ◽

10.1016/j.actaastro.2020.02.051 ◽

2020 ◽

Vol 171 ◽

pp. 156-171 ◽

Author(s):

Roberto Furfaro ◽

Andrea Scorsoglio ◽

Richard Linares ◽

Mauro Massari

Keyword(s):

Reinforcement Learning ◽

Learning Approach ◽

Planetary Landing

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Deep reinforcement learning for six degree-of-freedom planetary landing

Advances in Space Research ◽

10.1016/j.asr.2019.12.030 ◽

2020 ◽

Vol 65 (7) ◽

pp. 1723-1741 ◽

Author(s):

Brian Gaudet ◽

Richard Linares ◽

Roberto Furfaro

Keyword(s):

Reinforcement Learning ◽

Degree Of Freedom ◽

Planetary Landing ◽

Six Degree Of Freedom

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Autonomous Planetary Landing via Deep Reinforcement Learning and Transfer Learning

10.1109/cvprw53098.2021.00231 ◽

2021 ◽

Author(s):

Giulia Ciabatti ◽

Shreyansh Daftry ◽

Roberto Capobianco

Keyword(s):

Reinforcement Learning ◽

Transfer Learning ◽

Planetary Landing

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Terminal Multiple Surface Sliding Guidance for Planetary Landing: Development, Tuning and Optimization via Reinforcement Learning

The Journal of the Astronautical Sciences ◽

10.1007/s40295-015-0045-1 ◽

2015 ◽

Vol 62 (1) ◽

pp. 73-99 ◽

Author(s):

Roberto Furfaro ◽

Daniel R. Wibben ◽

Brian Gaudet ◽

Jules Simo

Keyword(s):

Reinforcement Learning ◽

Planetary Landing

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Supplemental Material for Reconciling Reinforcement Learning Models With Behavioral Extinction and Renewal: Implications for Addiction, Relapse, and Problem Gambling

Psychological Review ◽

10.1037/0033-295x.114.3.784.supp ◽

2007 ◽

Keyword(s):

Reinforcement Learning ◽

Problem Gambling ◽

Learning Models ◽

Behavioral Extinction ◽

Reinforcement Learning Models

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Bayes factors for reinforcement-learning models of the Iowa gambling task.

Decision ◽

10.1037/dec0000040 ◽

2016 ◽

Vol 3 (2) ◽

pp. 115-131 ◽

Author(s):

Helen Steingroever ◽

Ruud Wetzels ◽

Eric-Jan Wagenmakers

Keyword(s):

Reinforcement Learning ◽

Iowa Gambling Task ◽

Bayes Factors ◽

Gambling Task ◽

Learning Models ◽

Reinforcement Learning Models

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Analogical Reinforcement Learning With Two-Stage Memory Retrieval

PsycEXTRA Dataset ◽

10.1037/e528942014-705 ◽

2014 ◽

Author(s):

James Foster ◽

Matt Jones

Keyword(s):

Reinforcement Learning ◽

Memory Retrieval ◽

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Effects of Working Memory Capacity on the Speed and Accuracy of Learning in Reinforcement Learning Models

PsycEXTRA Dataset ◽

10.1037/e528942014-552 ◽

2014 ◽

Author(s):

Adnane Ez-Zizi ◽

Simon Farrell ◽

David Leslie

Keyword(s):

Working Memory ◽

Reinforcement Learning ◽

Working Memory Capacity ◽

Memory Capacity ◽

Learning Models ◽

Reinforcement Learning Models ◽

Speed And Accuracy

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Supplemental Material for Reinforcement Learning Models of Risky Choice and the Promotion of Risk-Taking by Losses Disguised as Wins in Rats

Journal of Experimental Psychology Animal Learning and Cognition ◽

10.1037/xan0000141.supp ◽

2017 ◽

Keyword(s):

Reinforcement Learning ◽

Risk Taking ◽

Risky Choice ◽

Learning Models ◽

Losses Disguised As Wins ◽

Reinforcement Learning Models

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Reinforcement learning of irrelevant stimulus-response associations modulates cognitive control.

Journal of Experimental Psychology Learning Memory and Cognition ◽

10.1037/xlm0000850 ◽

2020 ◽

Author(s):

Jinglu Chen ◽

Ling Tan ◽

Lu Liu ◽

Ling Wang

Keyword(s):

Reinforcement Learning ◽

Cognitive Control ◽

Irrelevant Stimulus ◽

Stimulus Response

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