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Concept

Reward system

Related lectures (21)

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Explores the evolutionary perspective on surprise, curiosity, and reward, focusing on the role of primary and secondary reward signals.

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Reward-based Learning: Cellular Mechanisms MOOC: Cellular Mechanisms of Brain Function

Explores reward-based learning in neuronal networks and the role of dopamine in synaptic plasticity.

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Action Games and Beat Them All

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Markov Decision Processes: Foundations of Reinforcement Learning

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Delves into intrinsic motivation, embodied AI, information demand, novelty, and curiosity in decision-making.

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Explores sensory representations, perception, memory, cognitive control, and neural networks.

Mission Innovation: Incentivizing Technologies

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Reinforcement Learning for Pacman

Explores applying reinforcement learning to teach Pacman to play autonomously using policy gradient methods and Markov decision processes.

Natural Language Generation: Decoding Techniques and Training Challenges

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Policy Gradient Methods: Reinforcement Learning Techniques

Provides an overview of policy gradient methods in reinforcement learning, focusing on the log-likelihood trick and the transition from batch to online learning.

Introduction to Reinforcement Learning: Key Concepts and Applications Log in to Mediaspace to watch this video

Introduces reinforcement learning, covering its definitions, applications, and theoretical foundations, while outlining the course structure and objectives.

Automating Scanning Probe Microscopy: Techniques and Applications Log in to Mediaspace to watch this video

Covers the integration of machine learning with scanning probe microscopy for enhanced automation and efficiency in scientific workflows.

Markov Chain Convergence Log in to Mediaspace to watch this video

Explores Markov chain convergence, emphasizing invariant distribution, Law of Large Numbers, and mean rewards computation.

Dynamic Programming: Financial Adviser's Prediction Log in to Mediaspace to watch this video

Covers a dynamic programming algorithm for a financial adviser to maximize the probability of impressing her clients.

Reinforcement Learning for Pacman Log in to Mediaspace to watch this video

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