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03/26/2021
Bellman: A Toolbox for Model-Based Reinforcement Learning in TensorFlow
In the past decade, model-free reinforcement learning (RL) has provided ...
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10/09/2019
Policy Optimization Through Approximated Importance Sampling
Recent policy optimization approaches (Schulman et al., 2015a, 2017) hav...
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08/13/2015
Learning from Real Users: Rating Dialogue Success with Neural Networks for Reinforcement Learning in Spoken Dialogue Systems
To train a statistical spoken dialogue system (SDS) it is essential that...
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08/07/2015