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Surprise-based model estimation in reinforcement learning: algorithms and brain signatures

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Surprise-based model estimation in reinforcement learning: algorithms and brain signatures

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Probabilistic inverse reinforcement learning in unknown environments

Autonomous reinforcement learning with experience replay

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Transfer in Inverse Reinforcement Learning for Multiple Strategies

Cover Tree Bayesian Reinforcement Learning

Sparse reward processes

Reinforcement Learning Using a Continuous Time Actor-Critic Framework with Spiking Neurons

Perceptual learning, roving and the unsupervised bias

Perceptual Learning, Roving, and Synaptic Drift

Transfer in Inverse Reinforcement Learning for Multiple Strategies