Whitehead SD, Lin LJ. (1995). Reinforcement learning of non-Markov decision processes Artificial Intel. 73

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References and models cited by this paper
References and models that cite this paper

Fujita H, Ishii S. (2007). Model-based reinforcement learning for partially observable games with sampling-based state estimation. Neural computation. 19 [PubMed]

Nakano T, Otsuka M, Yoshimoto J, Doya K. (2015). A spiking neural network model of model-free reinforcement learning with high-dimensional sensory input and perceptual ambiguity. PloS one. 10 [PubMed]

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