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Adversarially Trained Actor Critic for Offline Reinforcement Learning
Ching An Cheng
, Tengyang Xie
,
Nan Jiang
, Alekh Agarwal
Electrical and Computer Engineering
Siebel School of Computing and Data Science
Research output
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peer-review
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Keyphrases
Actor-critic
100%
Behavioral Policy
40%
Continuous Control Tasks
20%
Coverage-based
20%
Data Coverage
20%
Deep Reinforcement Learning (deep RL)
20%
Function Approximation
20%
General Functioning
20%
Hyperparameters
40%
Learning Implementation
20%
Low Quality Data
20%
Model-free Algorithms
20%
No Regret
20%
Offline Reinforcement Learning
100%
Policy Actors
20%
Reinforcement Learning Algorithm
20%
Stackelberg Game
20%
Two-player Games
20%
Computer Science
Complex Environment
33%
Continuous Control
33%
Deep Reinforcement Learning
33%
Function Approximation
33%
Large Data Set
33%
Leaning Parameter
66%
Reinforcement Learning
100%
stackelberg game
33%