![Louis Kirsch | Deep Learning and Reinforcement Learning researcher building RL agents that meta-learn their own learning algorithm. Currently pursuing a PhD in Artificial Intelligence at IDSIA with Jürgen Schmidhuber. Louis Kirsch | Deep Learning and Reinforcement Learning researcher building RL agents that meta-learn their own learning algorithm. Currently pursuing a PhD in Artificial Intelligence at IDSIA with Jürgen Schmidhuber.](http://louiskirsch.com/assets/about/louis-portrait.jpg)
Louis Kirsch | Deep Learning and Reinforcement Learning researcher building RL agents that meta-learn their own learning algorithm. Currently pursuing a PhD in Artificial Intelligence at IDSIA with Jürgen Schmidhuber.
The Predictron: End-To-End Learning and Planning --- David Silver, Hado van Hasselt, Matteo Hessel, Tom Schaul, Arthur Guez, Tim on Vimeo
GitHub - nikhil3456/Deep-Reinforcement-Learning-in-Large-Discrete-Action-Spaces: PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, Hado van Hasselt, Peter Sunehag ...
![Dr. Natalie van der Wal on X: "Keynote Hado van Hasselt @BNAIC Conference 2016 #ArtificialIntelligence https://t.co/Yy2IK6GYXJ" / X Dr. Natalie van der Wal on X: "Keynote Hado van Hasselt @BNAIC Conference 2016 #ArtificialIntelligence https://t.co/Yy2IK6GYXJ" / X](https://pbs.twimg.com/media/Cw-5XUJXUAE8Qzh.jpg:large)
Dr. Natalie van der Wal on X: "Keynote Hado van Hasselt @BNAIC Conference 2016 #ArtificialIntelligence https://t.co/Yy2IK6GYXJ" / X
![Veronica Chelu, Doina Precup, Hado van Hasselt · Forethought and Hindsight in Credit Assignment · SlidesLive Veronica Chelu, Doina Precup, Hado van Hasselt · Forethought and Hindsight in Credit Assignment · SlidesLive](https://model-attachments.slideslive.com/library/presentations/38937015/thumbnail/metagradient-reinforcement-learning-with-an-objective-discovered-online_YfHK6h_small.jpg)
Veronica Chelu, Doina Precup, Hado van Hasselt · Forethought and Hindsight in Credit Assignment · SlidesLive
![Towards Lightweight and Robust Machine Learning for CDN Caching | Proceedings of the 17th ACM Workshop on Hot Topics in Networks Towards Lightweight and Robust Machine Learning for CDN Caching | Proceedings of the 17th ACM Workshop on Hot Topics in Networks](https://videodelivery.net/eyJraWQiOiI3YjgzNTg3NDZlNWJmNDM0MjY5YzEwZTYwMDg0ZjViYiIsImFsZyI6IlJTMjU2In0.eyJzdWIiOiJkYmRlYTNkNDA0MzBkOWMyZWUxMmYxODk4YWRkODkxZCIsImtpZCI6IjdiODM1ODc0NmU1YmY0MzQyNjljMTBlNjAwODRmNWJiIiwiZXhwIjoxNjk4MDUzMzI1fQ.KIVBa494vDepp2MsoG3Da2rQ7Zq4k3pAN2NjKXZ2OwwHgyXa2OoNnKrxHzPzhNY0PY_0lbZbjf3lqh47t7lbqSQ6sh9ET-rp_cBKAIoCmkDFHhCyQ7Nb1HZmdmumUbkGYRP4dHFhNoyzNeV0SlLwQ93Fl4zsfIsFUwkko3p-J7h0D3ECPU-j03QjFmNRhsIiQNWBfiOhHoCAqTabiUwH9bB1X5XTippso8fpW-ECol7SXWVvWi54uAbe8ueYcMFekliRrpH5V36Sk0RCCzKI8PraCBiPvRsP7ttvX3xMkv4RZDhec4UGFpECZS1KuA19gARFN8unKL2R73S8uCbtNA/thumbnails/thumbnail.jpg?time=10.0s)