Reinforcement Learning Basics: Modelling your Algorithms
In this talk, Ali Chaudhry will share the choices that one has to make in modelling a Reinforcement Learning algorithm.
Muhammad Ali Chaudhry is a PostGraduate Researcher at University College London (UCL). In this talk he will share the choices that one has to make in modelling a Reinforcement Learning algorithm. He will discuss different types of Reinforcement Learning agents like Model-free, Model-based, Value-based, Policy-based and Actor-Critic. He will also discuss the trade-off between Exploration vs Exploitation and Planning vs Control using Temporal Difference Learning, Dynamic Programming and Monte Carlo approaches.
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Thanks to our sponsors
Reinforcement Learning Basics: Modelling your Algorithms
Ali Chaudhry
Ali is a self-taught programmer, currently doing a PhD in Artificial Intelligence and Education at University College London. His research focuses on applying human-centered learning science theories on Deep Reinforcement Learning algorithms. These days he's obsessed with GANs and Variational Autoencoders.
In this talk, Ali Chaudhry will share the choices that one has to make in modelling a Reinforcement Learning algorithm.
Muhammad Ali Chaudhry is a PostGraduate Researcher at University College London (UCL). In this talk he will share the choices that one has to make in modelling a Reinforcement Learning algorithm. He will discuss different types of Reinforcement Learning agents like Model-free, Model-based, Value-based, Policy-based and Actor-Critic. He will also discuss the trade-off between Exploration vs Exploitation and Planning vs Control using Temporal Difference Learning, Dynamic Programming and Monte Carlo approaches.
YOU MAY ALSO LIKE:
- Algorithmic Art (in London on 29th August 2019)
- Meta Reinforcement Learning: The Power of Generalizing RL Algorithms (SkillsCast recorded in July 2019)
- Martine Devos' Certified Scrum Product Owner (in London on 12th - 13th September 2019)
- Elasticsearch for Developers with Itamar Syn-Hershko (in London on 23rd - 25th September 2019)
- CloudNative London 2019 (in London on 25th - 27th September 2019)
- Haskell eXchange 2019 (in London on 10th - 11th October 2019)
- Inspire creation with technology such as the Raspberry Pi over a pint. (in London on 30th July 2019)
- Redis Streams + Spark Structured Streaming: Scale-out Your Continuous Apps (in London on 31st July 2019)
- How real-time data processing is used for application in customer experience? (SkillsCast recorded in July 2019)
- A Look at the technology of LUNO and Adjust (SkillsCast recorded in July 2019)
Thanks to our sponsors
Reinforcement Learning Basics: Modelling your Algorithms
Ali Chaudhry
Ali is a self-taught programmer, currently doing a PhD in Artificial Intelligence and Education at University College London. His research focuses on applying human-centered learning science theories on Deep Reinforcement Learning algorithms. These days he's obsessed with GANs and Variational Autoencoders.