401 citations · 522 across the 16 of their papers we have counts for
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cs.LG2018★ 6 cited
Expert-augmented actor-critic for ViZDoom and Montezumas Revenge
Michał Garmulewicz, Henryk Michalewski, Piotr Miłoś
We propose an expert-augmented actor-critic algorithm, which we evaluate on two environments with sparse rewards: Montezumas Revenge and a demanding maze from the ViZDoom suite. In…
cs.LG2018★ 1 cited
Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments
Łukasz Kidziński, Sharada Prasanna Mohanty, Carmichael Ong +26
In the NIPS 2017 Learning to Run challenge, participants were tasked with building a controller for a musculoskeletal model to make it run as fast as possible through an obstacle c…