Teaching

Teaching

Thecourseprovidesbothbasicandadvancedknowledgeinreinforcementlearningacrossthreecoreskills:theory,implementation,andevaluation.。其他文章還包含有:「70028」、「70067」、「Activities」、「Computing(ArtificialIntelligenceandMachineLearning)」、「Deeplearning」、「Reinforcementlearningandonlinelearning」、「ReinforcementLearning」、「Theory」

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70028
70028

https://www.imperial.ac.uk

The course provides both basic and advanced knowledge in reinforcement learning across three core skills: theory, implementation, and evaluation.

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70067
70067

https://www.imperial.ac.uk

Imitation learning: behavioural cloning, inverse reinforcement learning, and learning interactively with humans. 5. Advanced topics: state-of-the-art research, ...

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Activities
Activities

https://www.imperial.ac.uk

Focusing on recent publications in reinforcement learning with a particular interest for deep RL. Previous sessions covered topics such as robot control, ...

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Computing (Artificial Intelligence and Machine Learning)
Computing (Artificial Intelligence and Machine Learning)

https://www.imperial.ac.uk

Imperial College London · Computing (Artificial Intelligence and Machine Learning) · Contact & Links.

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Deep learning
Deep learning

https://www.imperial.ac.uk

Research of core members; Theory · Probabilistic models and approximate inference · Reinforcement learning and online learning · Deep learning ...

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Reinforcement learning and online learning
Reinforcement learning and online learning

https://www.imperial.ac.uk

Imperial College London · Reinforcement learning and online learning · Contact & Links.

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Reinforcement Learning
Reinforcement Learning

https://www.imperial.ac.uk

There are three main angles that we take in studying reinforcement learning. These are: Improving the efficiency of specific algorithms for continuous ...

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Theory
Theory

https://www.imperial.ac.uk

Research areas · Probabilistic models and approximate inference · Reinforcement learning and online learning · Deep learning.