182 citations · 329 across the 14 of their papers we have counts for
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cs.LG2020★ 15 cited
Revisiting Maximum Entropy Inverse Reinforcement Learning: New Perspectives and Algorithms
Aaron J. Snoswell, Surya P. N. Singh, Nan Ye
We provide new perspectives and inference algorithms for Maximum Entropy (MaxEnt) Inverse Reinforcement Learning (IRL), which provides a principled method to find a most non-commit…
cs.LG2020★ 23 cited
Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations
Xiao Ma, Peter Karkus, David Hsu +2
Deep reinforcement learning is successful in decision making for sophisticated games, such as Atari, Go, etc. However, real-world decision making often requires reasoning with part…