Stein Variational Policy Gradient

7 April 2017

Papers citing "Stein Variational Policy Gradient"

40 / 40 papers shown

Title
S $^2$ AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic Safa Messaoud Billel Mokeddem Zhenghai Xue Linsey Pang Bo An Haipeng Chen Sanjay Chawla 46 3 0 02 May 2024
GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework Fangyikang Wang Huminhao Zhu Chao Zhang Han Zhao Hui Qian 31 5 0 27 Dec 2023
Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation Aniket Das Dheeraj M. Nagaraj 43 7 0 27 May 2023
A Finite-Particle Convergence Rate for Stein Variational Gradient Descent Jiaxin Shi Lester W. Mackey 28 18 0 17 Nov 2022
Reinforcement Learning Algorithms: An Overview and Classification Fadi AlMahamid Katarina Grolinger 21 40 0 29 Sep 2022
Convergence of Stein Variational Gradient Descent under a Weaker Smoothness Condition Lukang Sun Avetik G. Karagulyan Peter Richtárik 26 19 0 01 Jun 2022
Bayesian Sequential Optimal Experimental Design for Nonlinear Models Using Policy Gradient Reinforcement Learning Wanggang Shen Xun Huan 11 40 0 28 Oct 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain Jianye Hao Tianpei Yang Hongyao Tang Chenjia Bai Jinyi Liu Zhaopeng Meng Peng Liu Zhen Wang OffRL 38 93 0 14 Sep 2021
DR2L: Surfacing Corner Cases to Robustify Autonomous Driving via Domain Randomization Reinforcement Learning Haoyi Niu Jianming Hu Zheyu Cui Yi Zhang 36 16 0 25 Jul 2021
A Convergence Theory for SVGD in the Population Limit under Talagrand's Inequality T1 Adil Salim Lukang Sun Peter Richtárik 26 20 0 06 Jun 2021
Stein's Method Meets Computational Statistics: A Review of Some Recent Developments Andreas Anastasiou Alessandro Barp F. Briol B. Ebner Robert E. Gaunt ... Qiang Liu Lester W. Mackey Chris J. Oates Gesine Reinert Yvik Swan 29 35 0 07 May 2021
Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search Y. Fu Zhongzhi Yu Yongan Zhang Yingyan Lin 22 4 0 24 Dec 2020
Improved Contrastive Divergence Training of Energy Based Models Yilun Du Shuang Li J. Tenenbaum Igor Mordatch 41 139 0 02 Dec 2020
Stein Variational Model Predictive Control Alexander Lambert Adam Fishman Dieter Fox Byron Boots F. Ramos 14 57 0 15 Nov 2020
Behaviorally Diverse Traffic Simulation via Reinforcement Learning Shinya Shiroshita Shirou Maruyama D. Nishiyama M. Castro Karim Hamzaoui Guy Rosman Jonathan A. DeCastro Kuan-Hui Lee Adrien Gaidon 34 19 0 11 Nov 2020
Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity Tanmay Gangwani Jian Peng Yuanshuo Zhou 29 10 0 05 Nov 2020
Robust Reinforcement Learning using Adversarial Populations Eugene Vinitsky Yuqing Du Kanaad Parvate Kathy Jang Pieter Abbeel Alexandre M. Bayen AAML 49 79 0 04 Aug 2020
A Non-Asymptotic Analysis for Stein Variational Gradient Descent Anna Korba Adil Salim Michael Arbel Giulia Luise Arthur Gretton 17 76 0 17 Jun 2020
Skill Discovery of Coordination in Multi-agent Reinforcement Learning Shuncheng He Jianzhun Shao Xiangyang Ji 26 7 0 07 Jun 2020
Novel Policy Seeking with Constrained Optimization Hao Sun Zhenghao Peng Bo Dai Jian Guo Dahua Lin Bolei Zhou 24 13 0 21 May 2020
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning Huimin Peng VLM OffRL 24 35 0 17 Apr 2020
Robust Reinforcement Learning via Adversarial training with Langevin Dynamics Parameswaran Kamalaruban Yu-ting Huang Ya-Ping Hsieh Paul Rolland C. Shi V. Cevher 31 60 0 14 Feb 2020
Identifying Distinct, Effective Treatments for Acute Hypotension with SODA-RL: Safely Optimized Diverse Accurate Reinforcement Learning Joseph D. Futoma M. A. Masood Finale Doshi-Velez OffRL OOD 16 11 0 09 Jan 2020
Learning Representations in Reinforcement Learning:An Information Bottleneck Approach Yingjun Pei Xinwen Hou SSL 39 10 0 12 Nov 2019
Multi-Path Policy Optimization L. Pan Qingpeng Cai Longbo Huang 18 2 0 11 Nov 2019
Sample Efficient Policy Gradient Methods with Recursive Variance Reduction Pan Xu F. Gao Quanquan Gu 31 83 0 18 Sep 2019
Active Domain Randomization Bhairav Mehta Manfred Diaz Florian Golemo C. Pal Liam Paull 30 257 0 09 Apr 2019
Understanding MCMC Dynamics as Flows on the Wasserstein Space Chang-Shu Liu Jingwei Zhuo Jun Zhu 19 22 0 01 Feb 2019
Stein Variational Gradient Descent as Moment Matching Qiang Liu Dilin Wang 20 37 0 27 Oct 2018
Stochastic Particle-Optimization Sampling and the Non-Asymptotic Convergence Theory Jianyi Zhang Ruiyi Zhang Lawrence Carin Changyou Chen 12 46 0 05 Sep 2018
Distributionally Adversarial Attack T. Zheng Changyou Chen K. Ren OOD 21 121 0 16 Aug 2018
Policy Optimization as Wasserstein Gradient Flows Ruiyi Zhang Changyou Chen Chunyuan Li Lawrence Carin 14 66 0 09 Aug 2018
Understanding and Accelerating Particle-Based Variational Inference Chang-rui Liu Jingwei Zhuo Pengyu Cheng Ruiyi Zhang Jun Zhu Lawrence Carin 11 14 0 04 Jul 2018
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 228 500 0 11 Jun 2018
A Stein variational Newton method Gianluca Detommaso Tiangang Cui Alessio Spantini Youssef Marzouk Robert Scheichl 61 114 0 08 Jun 2018
Stein Variational Gradient Descent Without Gradient J. Han Qiang Liu 22 45 0 07 Jun 2018
A Unified Particle-Optimization Framework for Scalable Bayesian Sampling Changyou Chen Ruiyi Zhang Wenlin Wang Bai Li Liqun Chen 21 86 0 29 May 2018
Learning Self-Imitating Diverse Policies Tanmay Gangwani Qiang Liu Jian Peng 27 65 0 25 May 2018
SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation Bo Dai Albert Eaton Shaw Lihong Li Lin Xiao Niao He Zhen Liu Jianshu Chen Le Song 34 25 0 29 Dec 2017
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 38 684 0 15 Nov 2017