This dissertation describes computational experiments comparing the performance of a range of reinforcement-learning algorithms. The experiments are designed to focus on aspects...
The deep reinforcement learning community has made several independent improvements to the DQN algorithm. However, it is unclear which of these extensions are complementary and ...
This paper describes the application of reinforcement learning (RL) to the difficult real world problem of elevator dispatching. The elevator domain poses a combination of chall...
One program to rule them all Computers can beat humans at increasingly complex games, including chess and Go. However, these programs are typically constructed for a particular ...
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