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Unified Policy Optimization for Continuous-action Reinforcement Learning
  in Non-stationary Tasks and Games

Unified Policy Optimization for Continuous-action Reinforcement Learning in Non-stationary Tasks and Games

19 August 2022
Rongjun Qin
Fan Luo
Hong Qian
Yang Yu
ArXivPDFHTML

Papers citing "Unified Policy Optimization for Continuous-action Reinforcement Learning in Non-stationary Tasks and Games"

3 / 3 papers shown
Title
DO-GAN: A Double Oracle Framework for Generative Adversarial Networks
DO-GAN: A Double Oracle Framework for Generative Adversarial Networks
Aye Phyu Phyu Aung
Xinrun Wang
Runsheng Yu
Bo An
Senthilnath Jayavelu
Xiaoli Li
29
8
0
17 Feb 2021
Faster Game Solving via Predictive Blackwell Approachability: Connecting
  Regret Matching and Mirror Descent
Faster Game Solving via Predictive Blackwell Approachability: Connecting Regret Matching and Mirror Descent
Gabriele Farina
Christian Kroer
T. Sandholm
51
72
0
28 Jul 2020
A Unified View of Large-scale Zero-sum Equilibrium Computation
A Unified View of Large-scale Zero-sum Equilibrium Computation
Kevin Waugh
J. Andrew Bagnell
53
25
0
18 Nov 2014
1