Ting Qiao

Uncertainty-Weighted Optimisation for Model-Based Reinforcement Learning

In Model-Based Reinforcement Learning, Deep Neural Networks are trained to be world models to simulate interactions between agents and their environments. Model biases are inevitable in such world models due to their limited size and the stochastic nature of training datasets. Instead of striving for a perfect world mo...