Artificial neural networks/reinforcement learning
Weekly outline
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Reinforcement Learning for Bandit problems
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Bellman Equation and SARSA
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Variants of TD-learning methods and eligibility traces
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TD-learning and function approximation
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Policy-gradient methods
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From Policy Gradient to Actor-Critic
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Deep Reinforcement Learning
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Model-Based Deep Reinforcement Learning
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Markov Decision Processes
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Reinforcement Learning and the Brain
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From brain-style computing to neuromorphic computing
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Surprise and Novelty in Reinforcement Learning
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Curiosity-driven exploration
