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Robust Reinforcement Learning Under Minimax Regret for Green Security

Robust Reinforcement Learning Under Minimax Regret for Green Security

15 June 2021
Lily Xu
Andrew Perrault
Fei Fang
Haipeng Chen
Milind Tambe
    AAML
ArXivPDFHTML

Papers citing "Robust Reinforcement Learning Under Minimax Regret for Green Security"

13 / 13 papers shown
Title
Discovering Diverse Multi-Agent Strategic Behavior via Reward
  Randomization
Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization
Zhen-Yu Tang
Chao Yu
Boyuan Chen
Huazhe Xu
Xiaolong Wang
Fei Fang
S. Du
Yu Wang
Yi Wu
59
52
0
08 Mar 2021
Minimax Regret Optimisation for Robust Planning in Uncertain Markov
  Decision Processes
Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes
Marc Rigter
Bruno Lacerda
Nick Hawes
17
17
0
08 Dec 2020
Dual-Mandate Patrols: Multi-Armed Bandits for Green Security
Dual-Mandate Patrols: Multi-Armed Bandits for Green Security
Lily Xu
Elizabeth Bondi-Kelly
Fei Fang
Andrew Perrault
Kai Wang
Milind Tambe
32
24
0
14 Sep 2020
Learning to Play Sequential Games versus Unknown Opponents
Learning to Play Sequential Games versus Unknown Opponents
Pier Giuseppe Sessa
Ilija Bogunovic
Maryam Kamgarpour
Andreas Krause
19
27
0
10 Jul 2020
Risk Averse Robust Adversarial Reinforcement Learning
Risk Averse Robust Adversarial Reinforcement Learning
Xinlei Pan
Daniel Seita
Yang Gao
John F. Canny
AAML
32
96
0
31 Mar 2019
Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol
  Planning Under Uncertainty with Field Test Evaluations
Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol Planning Under Uncertainty with Field Test Evaluations
Lily Xu
Shahrzad Gholami
S. M. Carthy
B. Dilkina
A. Plumptre
...
M. Driciru
F. Wanyama
A. Rwetsiba
Tom Okello
Eric Enyel
26
48
0
08 Mar 2019
Deep Reinforcement Learning for Green Security Games with Real-Time
  Information
Deep Reinforcement Learning for Green Security Games with Real-Time Information
Yufei Wang
Zheyuan Ryan Shi
Lantao Yu
Yi Wu
Rohit Singh
Lucas Joppa
Fei Fang
35
74
0
06 Nov 2018
Reinforcement Learning with Perturbed Rewards
Reinforcement Learning with Perturbed Rewards
Jingkang Wang
Yang Liu
Yue Liu
NoLa
47
127
0
02 Oct 2018
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
Marc Lanctot
V. Zambaldi
A. Gruslys
Angeliki Lazaridou
K. Tuyls
Julien Perolat
David Silver
T. Graepel
82
628
0
02 Nov 2017
Robust Adversarial Reinforcement Learning
Robust Adversarial Reinforcement Learning
Lerrel Pinto
James Davidson
Rahul Sukthankar
Abhinav Gupta
OOD
76
848
0
08 Mar 2017
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
191
13,174
0
09 Sep 2015
Minimax regret based elicitation of generalized additive utilities
Minimax regret based elicitation of generalized additive utilities
Darius Braziunas
Craig Boutilier
58
84
0
20 Jun 2012
Regret-based Reward Elicitation for Markov Decision Processes
Regret-based Reward Elicitation for Markov Decision Processes
K. Regan
Craig Boutilier
75
86
0
09 May 2012
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