Distributionally-Constrained Policy Optimization via Unbalanced Optimal Transport

15 February 2021

Patrick Shafto

Papers citing "Distributionally-Constrained Policy Optimization via Unbalanced Optimal Transport"

20 / 20 papers shown

Title
Imitation Learning with Sinkhorn Distances Georgios Papagiannis Yunpeng Li OT 31 27 0 20 Aug 2020
Variational Policy Gradient Method for Reinforcement Learning with General Utilities Junyu Zhang Alec Koppel Amrit Singh Bedi Csaba Szepesvári Mengdi Wang 64 140 0 04 Jul 2020
Primal Wasserstein Imitation Learning Robert Dadashi Léonard Hussenot Matthieu Geist Olivier Pietquin 64 129 0 08 Jun 2020
Cautious Reinforcement Learning via Distributional Risk in the Dual Domain Junyu Zhang Amrit Singh Bedi Mengdi Wang Alec Koppel 49 28 0 27 Feb 2020
Reinforcement Learning via Fenchel-Rockafellar Duality Ofir Nachum Bo Dai OffRL 146 122 0 07 Jan 2020
AlgaeDICE: Policy Gradient from Arbitrary Experience Ofir Nachum Bo Dai Ilya Kostrikov Yinlam Chow Lihong Li Dale Schuurmans OffRL 156 243 0 04 Dec 2019
Wasserstein Adversarial Imitation Learning Huang Xiao Michael Herman Joerg Wagner Sebastian Ziesche Jalal Etesami T. H. Linh 41 72 0 19 Jun 2019
Learning to Score Behaviors for Guided Policy Optimization Aldo Pacchiano Jack Parker-Holder Yunhao Tang A. Choromańska K. Choromanski Michael I. Jordan 57 39 0 11 Jun 2019
DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections Ofir Nachum Yinlam Chow Bo Dai Lihong Li OffRL 148 337 0 10 Jun 2019
Understanding the impact of entropy on policy optimization Zafarali Ahmed Nicolas Le Roux Mohammad Norouzi Dale Schuurmans 73 233 0 27 Nov 2018
Policy Optimization as Wasserstein Gradient Flows Ruiyi Zhang Changyou Chen Chunyuan Li Lawrence Carin 65 68 0 09 Aug 2018
Computational Optimal Transport Gabriel Peyré Marco Cuturi OT 217 2,148 0 01 Mar 2018
Large-Scale Optimal Transport and Mapping Estimation Vivien Seguy B. Damodaran Rémi Flamary Nicolas Courty Antoine Rolet Mathieu Blondel OT 68 248 0 07 Nov 2017
A unified view of entropy-regularized Markov decision processes Gergely Neu Anders Jonsson Vicencc Gómez 95 262 0 22 May 2017
Equivalence Between Policy Gradients and Soft Q-Learning John Schulman Xi Chen Pieter Abbeel OffRL 83 346 0 21 Apr 2017
Reinforcement Learning with Deep Energy-Based Policies Tuomas Haarnoja Haoran Tang Pieter Abbeel Sergey Levine 100 1,340 0 27 Feb 2017
Stochastic Optimization for Large-scale Optimal Transport Aude Genevay Marco Cuturi Gabriel Peyré Francis R. Bach OT 73 467 0 27 May 2016
An Emphatic Approach to the Problem of Off-policy Temporal-Difference Learning R. Sutton A. R. Mahmood Martha White 88 271 0 14 Mar 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 277 6,776 0 19 Feb 2015
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances Marco Cuturi OT 215 4,262 0 04 Jun 2013