Home /Research /Reinforcement Learning in Situated Agents: Theoretical Problems and Practical Solutions
LEARNING

Reinforcement Learning in Situated Agents: Theoretical Problems and Practical Solutions

Mark D. Pendrith

Year
2000
Citations
8

Keywords

EstimatorReinforcement learningComputer scienceVariance (accounting)Artificial intelligenceMarkov decision processMachine learningMarkov processMathematicsStatistics

Related papers

Browse all LEARNING papers