275 citations · 344 across the 8 of their papers we have counts for
3 papers · 1 filter
Assumed Density Filtering Q-learning
Heejin Jeong, Clark Zhang, George J. Pappas +1
While off-policy temporal difference (TD) methods have widely been used in reinforcement learning due to their efficiency and simple implementation, their Bayesian counterparts hav…
Memory Augmented Control Networks
Arbaaz Khan, Clark Zhang, Nikolay Atanasov +3
Planning problems in partially observable environments cannot be solved directly with convolutional networks and require some form of memory. But, even memory networks with sophist…
End-to-End Navigation in Unknown Environments using Neural Networks
Arbaaz Khan, Clark Zhang, Nikolay Atanasov +3
We investigate how a neural network can learn perception actions loops for navigation in unknown environments. Specifically, we consider how to learn to navigate in environments po…