SOAP-RL: Sequential Option Advantage Propagation for Reinforcement Learning in POMDP Environments

26 July 2024

João F. Henriques

Papers citing "SOAP-RL: Sequential Option Advantage Propagation for Reinforcement Learning in POMDP Environments"

21 / 21 papers shown

Title
Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning Tuomas Haarnoja Ben Moran Guy Lever Sandy H. Huang Dhruva Tirumala ... Andrea Huber N. Hurley F. Nori R. Hadsell N. Heess 127 153 0 26 Apr 2023
Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios Yiren Lu Justin Fu George Tucker Xinlei Pan Eli Bronstein ... Brandyn White Aleksandra Faust Shimon Whiteson Drago Anguelov Sergey Levine OffRL 92 96 0 21 Dec 2022
Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos Bowen Baker Ilge Akkaya Peter Zhokhov Joost Huizinga Jie Tang Adrien Ecoffet Brandon Houghton Raul Sampedro Jeff Clune OffRL 140 303 0 23 Jun 2022
Towards real-world navigation with deep differentiable planners Shu Ishida João F. Henriques OffRL 36 6 0 08 Aug 2021
Hierarchical Reinforcement Learning By Discovering Intrinsic Options Jesse Zhang Haonan Yu Wenyuan Xu BDL 208 82 0 16 Jan 2021
Accelerating Reinforcement Learning with Learned Skill Priors Karl Pertsch Youngwoon Lee Joseph J. Lim OffRL OnRL 105 239 0 22 Oct 2020
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
AlphaStar: An Evolutionary Computation Perspective Kai Arulkumaran Antoine Cully Julian Togelius 71 185 0 05 Feb 2019
Learning to Drive in a Day Alex Kendall Jeffrey Hawke David Janz Przemyslaw Mazur Daniele Reda John M. Allen Vinh-Dieu Lam Alex Bewley Amar Shah 108 658 0 01 Jul 2018
Gated Path Planning Networks Lisa Lee Emilio Parisotto Devendra Singh Chaplot Eric Xing Ruslan Salakhutdinov 120 83 0 17 Jun 2018
Data-Efficient Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine OffRL 102 812 0 21 May 2018
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 580 19,315 0 20 Jul 2017
FeUdal Networks for Hierarchical Reinforcement Learning A. Vezhnevets Simon Osindero Tom Schaul N. Heess Max Jaderberg David Silver Koray Kavukcuoglu FedML 98 907 0 03 Mar 2017
Learning to reinforcement learn Jane X. Wang Z. Kurth-Nelson Dhruva Tirumala Hubert Soyer Joel Z Leibo Rémi Munos Charles Blundell D. Kumaran M. Botvinick OffRL 97 984 0 17 Nov 2016
RL $^2$ : Fast Reinforcement Learning via Slow Reinforcement Learning Yan Duan John Schulman Xi Chen Peter L. Bartlett Ilya Sutskever Pieter Abbeel OffRL 107 1,028 0 09 Nov 2016
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation Tejas D. Kulkarni Karthik Narasimhan A. Saeedi J. Tenenbaum 80 1,141 0 20 Apr 2016
Value Iteration Networks Aviv Tamar Yi Wu G. Thomas Sergey Levine Pieter Abbeel 82 656 0 09 Feb 2016
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 177 7,678 0 22 Sep 2015
High-Dimensional Continuous Control Using Generalized Advantage Estimation John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel OffRL 135 3,442 0 08 Jun 2015
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation Kyunghyun Cho B. V. Merrienboer Çağlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio AIMat 1.1K 23,414 0 03 Jun 2014
The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare Yavar Naddaf J. Veness Michael Bowling 120 3,021 0 19 Jul 2012