Add to ORKGReinforcement learning has become a wide and deep conduit that links ideas and results in computer science, statistics, control theory and economics to a near century's worth of psychological data on animal and human decision-making, and a fantastic wealth of findings concerning the neural basis of choice. There is a ready and free flow of ideas among these disciplines, providing a powerful foundation for exploring some of the complexities of both normal and abnormal behaviours. I will provide an overview, illustrating the themes with examples showing how far we have come, and how far we still have to go. The lecture will be followed up by a reception
A central problem in cognitive neuroscience is how animals can manage to rapidly master complex sens...
Machine learning and artificial intelligence are more than ever changing how we perceive the relatio...
Reinforcement learning is the process by which individuals alter their decisions to maximize positiv...
Animals that fail to predict or control events associated with rewards and punishments are not long ...
The field of Reinforcement Learning (RL) was inspired in large part by research in animal behavior a...
Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncerta...
Here we review recent developments in the application of reinforcement-learning theory as a means of...
Deep reinforcement learning has gathered much attention recently. Impressive results were achieved i...
This paper surveys the eld of reinforcement learning from a computer-science per-spective. It is wri...
This paper surveys the field of reinforcement learning from a computer-science perspective. It is wr...
Deep learning (DL) and reinforcement learning (RL) methods seem to be a part of indispensable factor...
In the ¯eld of machine learning, reinforcement learning constitutes the idea of enabling machines to...
This talk aims describes work in the intersection of Computational Neuroscience and Machine Learning...
Reinforcement Learning is a unique machine learning paradigm that has the ability to mimic behavi...
Reinforcement learning is the process by which individuals alter their decisions to maximize positiv...
A central problem in cognitive neuroscience is how animals can manage to rapidly master complex sens...
Machine learning and artificial intelligence are more than ever changing how we perceive the relatio...
Reinforcement learning is the process by which individuals alter their decisions to maximize positiv...
Animals that fail to predict or control events associated with rewards and punishments are not long ...
The field of Reinforcement Learning (RL) was inspired in large part by research in animal behavior a...
Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncerta...
Here we review recent developments in the application of reinforcement-learning theory as a means of...
Deep reinforcement learning has gathered much attention recently. Impressive results were achieved i...
This paper surveys the eld of reinforcement learning from a computer-science per-spective. It is wri...
This paper surveys the field of reinforcement learning from a computer-science perspective. It is wr...
Deep learning (DL) and reinforcement learning (RL) methods seem to be a part of indispensable factor...
In the ¯eld of machine learning, reinforcement learning constitutes the idea of enabling machines to...
This talk aims describes work in the intersection of Computational Neuroscience and Machine Learning...
Reinforcement Learning is a unique machine learning paradigm that has the ability to mimic behavi...
Reinforcement learning is the process by which individuals alter their decisions to maximize positiv...
A central problem in cognitive neuroscience is how animals can manage to rapidly master complex sens...
Machine learning and artificial intelligence are more than ever changing how we perceive the relatio...
Reinforcement learning is the process by which individuals alter their decisions to maximize positiv...