v1v2 (latest)

Wasserstein Flow Meets Replicator Dynamics: A Mean-Field Analysis of Representation Learning in Actor-Critic

27 December 2021

Siyu Chen

Papers citing "Wasserstein Flow Meets Replicator Dynamics: A Mean-Field Analysis of Representation Learning in Actor-Critic"

28 / 28 papers shown

Title
Finite Sample Analysis of Two-Time-Scale Natural Actor-Critic Algorithm S. Khodadadian Thinh T. Doan Justin Romberg S. T. Maguluri 85 43 0 26 Jan 2021
Global optimality of softmax policy gradient with single hidden layer neural networks in the mean-field regime Andrea Agazzi Jianfeng Lu 64 16 0 22 Oct 2020
Single-Timescale Actor-Critic Provably Finds Globally Optimal Policy Zuyue Fu Zhuoran Yang Zhaoran Wang 85 43 0 02 Aug 2020
Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory Yufeng Zhang Qi Cai Zhuoran Yang Yongxin Chen Zhaoran Wang OOD MLT 327 11 0 08 Jun 2020
Non-asymptotic Convergence Analysis of Two Time-scale (Natural) Actor-Critic Algorithms Tengyu Xu Zhe Wang Yingbin Liang 76 58 0 07 May 2020
A Finite Time Analysis of Two Time-Scale Actor Critic Methods Yue Wu Weitong Zhang Pan Xu Quanquan Gu 171 149 0 04 May 2020
Improving Sample Complexity Bounds for (Natural) Actor-Critic Algorithms Tengyu Xu Zhe Wang Yingbin Liang 57 25 0 27 Apr 2020
A Mean-field Analysis of Deep ResNet and Beyond: Towards Provable Optimization Via Overparameterization From Depth Yiping Lu Chao Ma Yulong Lu Jianfeng Lu Lexing Ying MLT 126 79 0 11 Mar 2020
A Generalized Neural Tangent Kernel Analysis for Two-layer Neural Networks Zixiang Chen Yuan Cao Quanquan Gu Tong Zhang MLT 56 10 0 10 Feb 2020
On Computation and Generalization of Generative Adversarial Imitation Learning Minshuo Chen Yizhou Wang Tianyi Liu Zhuoran Yang Xingguo Li Zhaoran Wang T. Zhao 110 40 0 09 Jan 2020
Dota 2 with Large Scale Deep Reinforcement Learning OpenAI OpenAI : Christopher Berner Greg Brockman Brooke Chan ... Szymon Sidor Ilya Sutskever Jie Tang Filip Wolski Susan Zhang GNN VLM CLL AI4CE LRM 169 1,836 0 13 Dec 2019
Provably Efficient Exploration in Policy Optimization Qi Cai Zhuoran Yang Chi Jin Zhaoran Wang 66 283 0 12 Dec 2019
Convex Formulation of Overparameterized Deep Neural Networks Cong Fang Yihong Gu Weizhong Zhang Tong Zhang 72 28 0 18 Nov 2019
Over Parameterized Two-level Neural Networks Can Learn Near Optimal Feature Representations Cong Fang Hanze Dong Tong Zhang 42 18 0 25 Oct 2019
Solving Rubik's Cube with a Robot Hand OpenAI Ilge Akkaya Marcin Andrychowicz Maciek Chociej Ma-teusz Litwin ... Peter Welinder Lilian Weng Qiming Yuan Wojciech Zaremba Lei Zhang ODL 121 1,232 0 16 Oct 2019
Neural Policy Gradient Methods: Global Optimality and Rates of Convergence Lingxiao Wang Qi Cai Zhuoran Yang Zhaoran Wang 91 242 0 29 Aug 2019
Provably Efficient Reinforcement Learning with Linear Function Approximation Chi Jin Zhuoran Yang Zhaoran Wang Michael I. Jordan 98 560 0 11 Jul 2019
Neural Proximal/Trust Region Policy Optimization Attains Globally Optimal Policy Boyi Liu Qi Cai Zhuoran Yang Zhaoran Wang 73 111 0 25 Jun 2019
Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound Lin F. Yang Mengdi Wang OffRL GP 64 288 0 24 May 2019
Mean-field theory of two-layers neural networks: dimension-free bounds and kernel limit Song Mei Theodor Misiakiewicz Andrea Montanari MLT 80 279 0 16 Feb 2019
Analysis of a Two-Layer Neural Network via Displacement Convexity Adel Javanmard Marco Mondelli Andrea Montanari MLT 87 57 0 05 Jan 2019
Regularization Matters: Generalization and Optimization of Neural Nets v.s. their Induced Kernel Colin Wei Jason D. Lee Qiang Liu Tengyu Ma 214 245 0 12 Oct 2018
Mean Field Analysis of Neural Networks: A Central Limit Theorem Justin A. Sirignano K. Spiliopoulos MLT 75 194 0 28 Aug 2018
Neural Tangent Kernel: Convergence and Generalization in Neural Networks Arthur Jacot Franck Gabriel Clément Hongler 273 3,219 0 20 Jun 2018
On the Global Convergence of Gradient Descent for Over-parameterized Models using Optimal Transport Lénaïc Chizat Francis R. Bach OT 212 737 0 24 May 2018
A Mean Field View of the Landscape of Two-Layers Neural Networks Song Mei Andrea Montanari Phan-Minh Nguyen MLT 101 862 0 18 Apr 2018
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 532 19,265 0 20 Jul 2017
Benchmarking Deep Reinforcement Learning for Continuous Control Yan Duan Xi Chen Rein Houthooft John Schulman Pieter Abbeel OffRL 94 1,695 0 22 Apr 2016