10 citations · 30 across the 9 of their papers we have counts for
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cs.LG2019
On the use of Deep Autoencoders for Efficient Embedded Reinforcement Learning
Bharat Prakash, Mark Horton, Nicholas R. Waytowich +3
In autonomous embedded systems, it is often vital to reduce the amount of actions taken in the real world and energy required to learn a policy. Training reinforcement learning age…
cs.AI2019★ 9 cited
Improving Safety in Reinforcement Learning Using Model-Based Architectures and Human Intervention
Bharat Prakash, Mohit Khatwani, Nicholas Waytowich +1
Recent progress in AI and Reinforcement learning has shown great success in solving complex problems with high dimensional state spaces. However, most of these successes have been…