27 citations · 27 across the 2 of their papers we have counts for
2 papers
cs.AI2019★ 27 cited
Discounted Reinforcement Learning Is Not an Optimization Problem
Abhishek Naik, Roshan Shariff, Niko Yasui +2
Discounted reinforcement learning is fundamentally incompatible with function approximation for control in continuing tasks. It is not an optimization problem in its usual formulat…
cs.LG2016
Learning Representations by Stochastic Meta-Gradient Descent in Neural Networks
Vivek Veeriah, Shangtong Zhang, Richard S. Sutton
Representations are fundamental to artificial intelligence. The performance of a learning system depends on the type of representation used for representing the data. Typically, th…