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Bob and Alice Go to a Bar: Reasoning About Future With Probabilistic Programs
David Tolpin
, Tomer Dobkin
Department of Computer Science
Research output
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Working paper/Preprint
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Preprint
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Dive into the research topics of 'Bob and Alice Go to a Bar: Reasoning About Future With Probabilistic Programs'. Together they form a unique fingerprint.
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Keyphrases
Reinforcement Learning
100%
Probabilistic Programs
100%
Agent Preferences
66%
Agent Behavior
33%
Probabilistic Model
33%
Bayesian Inference
33%
Two-agent
33%
Bayesian Statistics
33%
Noisy Environment
33%
Solid Foundation
33%
Programming Paradigms
33%
Probabilistic Programming
33%
Stochastic Preferences
33%
Exponentiated
33%
Probabilistic Preferences
33%
Psychology
Realization
100%
Case Study
100%
Bayesian Statistics
100%
Computer Science
Reinforcement Learning
100%
Case Study
33%
Noisy Environment
33%
Programming Paradigm
33%
Social Sciences
Stochastics
100%
Case Study
50%
Material Science
Probabilistic Model
100%
Economics, Econometrics and Finance
Bayesian
100%