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83 Results
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Workshop
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Biological Neurons vs Deep Reinforcement Learning: Sample efficiency in a simulated game-world Forough Habibollahi · Moein Khajehnejad · Amitesh Gaurav · Brett J. Kagan |
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Workshop
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Fri 16:00 |
Robust Forecasting for Robotic Control: A Game-Theoretic Approach Shubhankar Agarwal · David Fridovich-Keil · Sandeep Chinchali |
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Workshop
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Robust Forecasting for Robotic Control: A Game-Theoretic Approach Shubhankar Agarwal · David Fridovich-Keil · Sandeep Chinchali |
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Workshop
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Biological Neurons vs Deep Reinforcement Learning: Sample efficiency in a simulated game-world Forough Habibollahi · Moein Khajehnejad · Amitesh Gaurav · Brett J. Kagan |
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Workshop
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Biological Neurons vs Deep Reinforcement Learning: Sample efficiency in a simulated game-world Forough Habibollahi · Moein Khajehnejad · Amitesh Gaurav · Brett J. Kagan |
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Workshop
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A Game-Theoretic Perspective of Generalization in Reinforcement Learning Chang Yang · RUIYU WANG · Xinrun Wang · Zhen Wang |
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Workshop
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Robust Forecasting for Robotic Control: A Game-Theoretic Approach Shubhankar Agarwal · David Fridovich-Keil · Sandeep Chinchali |
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Poster
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Wed 14:00 |
On the convergence of policy gradient methods to Nash equilibria in general stochastic games Angeliki Giannou · Kyriakos Lotidis · Panayotis Mertikopoulos · Emmanouil-Vasileios Vlatakis-Gkaragkounis |
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Poster
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Tue 9:00 |
On the Global Convergence Rates of Decentralized Softmax Gradient Play in Markov Potential Games Runyu Zhang · Jincheng Mei · Bo Dai · Dale Schuurmans · Na Li |
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Poster
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Wed 14:00 |
Sample-Efficient Reinforcement Learning of Partially Observable Markov Games Qinghua Liu · Csaba Szepesvari · Chi Jin |
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Poster
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Tue 9:00 |
Influencing Long-Term Behavior in Multiagent Reinforcement Learning Dong-Ki Kim · Matthew Riemer · Miao Liu · Jakob Foerster · Michael Everett · Chuangchuang Sun · Gerald Tesauro · Jonathan How |
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Poster
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Thu 14:00 |
Zero-Sum Stochastic Stackelberg Games Denizalp Goktas · Sadie Zhao · Amy Greenwald |