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Learning to Make Predictions In Partially Observable Environments
  Without a Generative Model

Learning to Make Predictions In Partially Observable Environments Without a Generative Model

16 January 2014
Erik Talvitie
Satinder Singh
ArXivPDFHTML

Papers citing "Learning to Make Predictions In Partially Observable Environments Without a Generative Model"

2 / 2 papers shown
Title
The Optimal Reward Baseline for Gradient-Based Reinforcement Learning
The Optimal Reward Baseline for Gradient-Based Reinforcement Learning
Lex Weaver
Nigel Tao
113
246
0
10 Jan 2013
Predictive State Representations: A New Theory for Modeling Dynamical
  Systems
Predictive State Representations: A New Theory for Modeling Dynamical Systems
Satinder Singh
Michael R. James
Matthew R. Rudary
AI4TS
AI4CE
75
288
0
11 Jul 2012
1