Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks

3 June 2022

Pashootan Vaezipoor

Papers citing "Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks"

22 / 22 papers shown

Title
Goal-Conditioned Reinforcement Learning with Imagined Subgoals Elliot Chane-Sane Cordelia Schmid Ivan Laptev 82 144 0 01 Jul 2021
GMAC: A Distributional Perspective on Actor-Critic Framework D. W. Nam Younghoon Kim Chan Y. Park 66 17 0 24 May 2021
LTL2Action: Generalizing LTL Instructions for Multi-Task RL Pashootan Vaezipoor Andrew C. Li Rodrigo Toro Icarte Sheila A. McIlraith OffRL AI4CE 123 77 0 13 Feb 2021
Hierarchical Reinforcement Learning By Discovering Intrinsic Options Jesse Zhang Haonan Yu Wenyuan Xu BDL 221 82 0 16 Jan 2021
Integrated Task and Motion Planning Caelan Reed Garrett Rohan Chitnis Rachel Holladay Beomjoon Kim Tom Silver L. Kaelbling Tomás Lozano-Pérez 104 502 0 02 Oct 2020
A Deeper Look at Discounting Mismatch in Actor-Critic Algorithms Shangtong Zhang Romain Laroche H. V. Seijen Shimon Whiteson Rémi Tachet des Combes 118 15 0 02 Oct 2020
What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study Marcin Andrychowicz Anton Raichuk Piotr Stańczyk Manu Orsini Sertan Girgin ... Matthieu Geist Olivier Pietquin Marcin Michalski Sylvain Gelly Olivier Bachem OffRL 79 224 0 10 Jun 2020
Automatic Curriculum Learning For Deep RL: A Short Survey Rémy Portelas Cédric Colas Lilian Weng Katja Hofmann Pierre-Yves Oudeyer ODL 104 175 0 10 Mar 2020
Reinforcement Learning for Combinatorial Optimization: A Survey Nina Mazyavkina S. Sviridov Sergei Ivanov Evgeny Burnaev 126 625 0 07 Mar 2020
Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards Siyuan Li Rui Wang Minxue Tang Chongjie Zhang 74 83 0 10 Oct 2019
Discounted Reinforcement Learning Is Not an Optimization Problem T. Reiher R. Shariff J. Castrillón Hengshuai Yao R. Sutton 101 50 0 04 Oct 2019
Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning? Ofir Nachum Haoran Tang Xingyu Lu S. Gu Honglak Lee Sergey Levine 71 102 0 23 Sep 2019
MineRL: A Large-Scale Dataset of Minecraft Demonstrations William H. Guss Brandon Houghton Nicholay Topin Phillip Wang Cayden R. Codel Manuela Veloso Ruslan Salakhutdinov OffRL 73 227 0 29 Jul 2019
Data-Efficient Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine OffRL 102 812 0 21 May 2018
Attention, Learn to Solve Routing Problems! W. Kool H. V. Hoof Max Welling 132 1,233 0 22 Mar 2018
DeepMind Control Suite Yuval Tassa Yotam Doron Alistair Muldal Tom Erez Yazhe Li ... A. Abdolmaleki J. Merel Andrew Lefrancq Timothy Lillicrap Martin Riedmiller ELM LM&Ro BDL 150 1,144 0 02 Jan 2018
A Distributional Perspective on Reinforcement Learning Marc G. Bellemare Will Dabney Rémi Munos OffRL 108 1,507 0 21 Jul 2017
Thinking Fast and Slow with Deep Learning and Tree Search Thomas W. Anthony Zheng Tian David Barber 135 402 0 23 May 2017
Stochastic Neural Networks for Hierarchical Reinforcement Learning Carlos Florensa Yan Duan Pieter Abbeel BDL 106 361 0 10 Apr 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
Giraffe: Using Deep Reinforcement Learning to Play Chess Matthew Lai 75 109 0 04 Sep 2015
High-Dimensional Continuous Control Using Generalized Advantage Estimation John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel OffRL 139 3,442 0 08 Jun 2015