Lee, Natural actor-critic algorithms, Automatica 45 (2009) 2471-2482.S. Bhatnagar, R. S. Sutton, M. Ghavamzadeh, and M. Lee. Natural actor-critic algorithms. Automatica, 45(11):2471-2482, 2009.S. Bhatnagar, R.S. Sutton, M. Ghavamzadeh, M. Lee, Natural actor-critic algorithms, ...
We show that several popular discounted reward natural actor-critics, including the popular NAC-LSTD and eNAC algorithms, do not generate unbiased estimates of the natural policy gradient as claimed. We derive the first unbiased discounted reward natural actor-critics using batch and iterative approache...
We show that several well-known reinforcement learning methods such as the original Actor-Critic and Bradtke's Linear Quadratic Q-Learning are in fact Natural Actor-Critic algorithms. Empirical evaluations illustrate the effectiveness of our techniques in comparison to previous methods, and also ...
Reinforcement learning algorithms are used frequently for controlling robotic arms in complex environments... SR Afzali,M Shoaran,G Karimian - 《Neural Processing Letters》 被引量: 0发表: 2023年 An advantage actor-critic algorithm for robotic motion planning in dense and dynamic scenarios Intelligent...
I had intended to make their algorithms self-modifiable, but they began to win at a high enough rate without doing so. And after all, nobody really wants to play against a program they can never beat. In 2013, I released CardShark Spades for Android. This was a complete rewrite of ...
(2008). Incremental Natural Actor-Critic Algorithms. In Proceedings of the Twenty-First Annual Conference on Advances in Neural Information Processing Systems (NIPS), Vancouver, Canada.S. Bhatnagar, R. Sutton, M. Ghavamzadeh, and M. Lee. Incremental natural actor-critic algorithms. In J. Platt...
Empirical evaluation of constant updates We plotted the behavior of the algorithms, and standard policy gradient, for this simple toy task in Fig. 1 (top). We use \(\eta = 10\) and \(\omega = 1\) for the natural gradient and the entropy regularization and a learning rate of \(\alph...
We show that several well-known reinforcement learning methods such as the original Actor-Critic and Bradtke's Linear Quadratic Q-Learning are in fact Natural Actor-Critic algorithms. Empirical evaluations illustrate the effectiveness of our techniques in comparison to previous methods, and also ...
Recently, actor-critic methods have drawn much interests in the area of reinforcement learning, and several algorithms have been studied along the line of the actor-critic strategy. This paper studiesdoi:10.1007/11596448_9Jooyoung ParkJongho Kim...
It was confirmed that the suggested algorithm achieved the desired control goals and, when compared to previously developed RL-based control algorithms, improved the performance considerably.doi:10.1007/s12541-010-0100-6Baeksuk ChuJooyoung Park