Search Results for author:
Found 3 papers, 1 papers with code
On-line reinforcement learning for optimization of real-life energy trading strategy
In many countries, this balancing is done on the day-ahead (DA) energy markets.
Least Redundant Gated Recurrent Neural Network
It is based on updating the previous memory state with a deep transformation of the lagged state and the network input.
Reinforcement Learning for on-line Sequence Transformation
A number of problems in the processing of sound and natural language, as well as in other areas, can be reduced to simultaneously reading an input sequence and writing an output sequence of generally different length.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
