23 citations · 80 across the 17 of their papers we have counts for
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cs.LG2018
On-line Adaptative Curriculum Learning for GANs
Thang Doan, Joao Monteiro, Isabela Albuquerque +4
Generative Adversarial Networks (GANs) can successfully approximate a probability distribution and produce realistic samples. However, open questions such as sufficient convergence…
stat.ML2018★ 9 cited
GAN Q-learning
Thang Doan, Bogdan Mazoure, Clare Lyle
Distributional reinforcement learning (distributional RL) has seen empirical success in complex Markov Decision Processes (MDPs) in the setting of nonlinear function approximation.…