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Revisiting Maximum Entropy Inverse Reinforcement Learning: New Perspectives and Algorithms
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Revisiting Maximum Entropy Inverse Reinforcement Learning: New Perspectives and Algorithms

Aaron J. Snoswell
Surya P. N. Singh
N. Ye
    OOD
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Papers citing "Revisiting Maximum Entropy Inverse Reinforcement Learning: New Perspectives and Algorithms"

4 / 4 papers shown
Title
Inverse Reinforcement Learning from Non-Stationary Learning Agents
Inverse Reinforcement Learning from Non-Stationary Learning Agents
Kavinayan P. Sivakumar
Yi Shen
Zachary I. Bell
Scott A. Nivison
Boyuan Chen
Michael M. Zavlanos
60
1
0
18 Oct 2024
Residual Chain Prediction for Autonomous Driving Path Planning
Residual Chain Prediction for Autonomous Driving Path Planning
Liguo Zhou
Yirui Zhou
Huaming Liu
Alois C. Knoll
65
0
0
08 Apr 2024
X-MEN: Guaranteed XOR-Maximum Entropy Constrained Inverse Reinforcement Learning
X-MEN: Guaranteed XOR-Maximum Entropy Constrained Inverse Reinforcement Learning
Fan Ding
Yeiang Xue
45
7
0
22 Mar 2022
LiMIIRL: Lightweight Multiple-Intent Inverse Reinforcement Learning
LiMIIRL: Lightweight Multiple-Intent Inverse Reinforcement Learning
Aaron J. Snoswell
Surya P. N. Singh
N. Ye
110
4
0
03 Jun 2021