Search on the Replay Buffer: Bridging Planning and Reinforcement Learning

12 June 2019

Papers citing "Search on the Replay Buffer: Bridging Planning and Reinforcement Learning"

50 / 174 papers shown

Title
A Research Agenda for AI Planning in the Field of Flexible Production Systems Aljosha Kocher René Heesch Niklas Widulle Anna Nordhausen Julian Putzke Alexander Windmann Oliver Niggemann 13 5 0 31 Dec 2021
A Survey on Interpretable Reinforcement Learning Claire Glanois Paul Weng Matthieu Zimmer Dong Li Tianpei Yang Jianye Hao Wulong Liu OffRL 23 94 0 24 Dec 2021
Graph augmented Deep Reinforcement Learning in the GameRLand3D environment E. Beeching Maxim Peter Philippe Marcotte Jilles Debangoye Olivier Simonin Joshua Romoff Christian Wolf 11 5 0 22 Dec 2021
RvS: What is Essential for Offline RL via Supervised Learning? Scott Emmons Benjamin Eysenbach Ilya Kostrikov Sergey Levine OffRL 31 170 0 20 Dec 2021
Differentiable Spatial Planning using Transformers Devendra Singh Chaplot Deepak Pathak Jitendra Malik 27 37 0 02 Dec 2021
Adaptive Multi-Goal Exploration Jean Tarbouriech O. D. Domingues Pierre Ménard Matteo Pirotta Michal Valko A. Lazaric 18 2 0 23 Nov 2021
Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning Christopher Hoang Sungryull Sohn Jongwook Choi Wilka Carvalho Honglak Lee 13 28 0 18 Nov 2021
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning Dhruv Shah Peng-Tao Xu Yao Lu Ted Xiao Alexander Toshev Sergey Levine Brian Ichter OffRL 32 41 0 04 Nov 2021
Adjacency constraint for efficient hierarchical reinforcement learning Tianren Zhang Shangqi Guo Tian Tan Xiao M Hu Feng Chen 20 17 0 30 Oct 2021
Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning Junsup Kim Younggyo Seo Jinwoo Shin 18 58 0 26 Oct 2021
C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks Tianjun Zhang Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine Joseph E. Gonzalez OffRL 37 16 0 22 Oct 2021
Discovering and Achieving Goals via World Models Russell Mendonca Oleh Rybkin Kostas Daniilidis Danijar Hafner Deepak Pathak 27 117 0 18 Oct 2021
No RL, No Simulation: Learning to Navigate without Navigating Meera Hahn Devendra Singh Chaplot Shubham Tulsiani Mustafa Mukadam James M. Rehg Abhinav Gupta 75 71 0 18 Oct 2021
Lifelong Topological Visual Navigation R. Wiyatno Anqi Xu Liam Paull 57 16 0 16 Oct 2021
Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks Soroush Nasiriany Huihan Liu Yuke Zhu 82 109 0 07 Oct 2021
Hierarchies of Planning and Reinforcement Learning for Robot Navigation J. Wöhlke Felix Schmitt H. V. Hoof 21 23 0 23 Sep 2021
Example-Driven Model-Based Reinforcement Learning for Solving Long-Horizon Visuomotor Tasks Bohan Wu Suraj Nair Li Fei-Fei Chelsea Finn OffRL LM&Ro 38 24 0 21 Sep 2021
Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation Suraj Nair E. Mitchell Kevin Chen Brian Ichter Silvio Savarese Chelsea Finn LM&Ro OffRL 37 154 0 02 Sep 2021
Risk Conditioned Neural Motion Planning Xin Huang Meng Feng A. Jasour Guy Rosman B. Williams 19 6 0 04 Aug 2021
Goal-Conditioned Reinforcement Learning with Imagined Subgoals Elliot Chane-Sane Cordelia Schmid Ivan Laptev 21 140 0 01 Jul 2021
Graph Convolutional Memory using Topological Priors Steven D. Morad Stephan Liwicki Ryan Kortvelesy R. Mecca Amanda Prorok 18 0 0 27 Jun 2021
Compositional Reinforcement Learning from Logical Specifications Kishor Jothimurugan Suguman Bansal Osbert Bastani Rajeev Alur CoGe 28 77 0 25 Jun 2021
Model-Based Reinforcement Learning via Latent-Space Collocation Oleh Rybkin Chuning Zhu Anusha Nagabandi Kostas Daniilidis Igor Mordatch Sergey Levine OffRL 24 38 0 24 Jun 2021
TempoRL: Learning When to Act André Biedenkapp Raghunandan Rajan Frank Hutter Marius Lindauer OffRL 13 27 0 09 Jun 2021
Hierarchical Robot Navigation in Novel Environments using Rough 2-D Maps Chengguang Xu Chris Amato Lawson L. S. Wong 20 6 0 07 Jun 2021
DisTop: Discovering a Topological representation to learn diverse and rewarding skills A. Aubret L. Matignon S. Hassas 19 8 0 06 Jun 2021
Hierarchical Representation Learning for Markov Decision Processes Lorenzo Steccanella Simone Totaro Anders Jonsson 20 4 0 03 Jun 2021
Outcome-Driven Reinforcement Learning via Variational Inference Tim G. J. Rudner Vitchyr H. Pong R. McAllister Y. Gal Sergey Levine 32 20 0 20 Apr 2021
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills Yevgen Chebotar Karol Hausman Yao Lu Ted Xiao Dmitry Kalashnikov ... A. Irpan Benjamin Eysenbach Ryan Julian Chelsea Finn Sergey Levine SSL OffRL 32 146 0 15 Apr 2021
Solving Compositional Reinforcement Learning Problems via Task Reduction Yunfei Li Yilin Wu Huazhe Xu Xiaolong Wang Yi Wu 23 19 0 13 Mar 2021
Maximum Entropy RL (Provably) Solves Some Robust RL Problems Benjamin Eysenbach Sergey Levine OOD 38 175 0 10 Mar 2021
Enabling Visual Action Planning for Object Manipulation through Latent Space Roadmap M. Lippi Petra Poklukar Michael C. Welle Anastasia Varava Hang Yin Alessandro Marino Danica Kragic 21 13 0 03 Mar 2021
The Logical Options Framework Brandon Araki Xiao Li Kiran Vodrahalli Jonathan A. DeCastro Micah J. Fry Daniela Rus OffRL 24 31 0 24 Feb 2021
Neuro-algorithmic Policies enable Fast Combinatorial Generalization Marin Vlastelica Michal Rolínek Georg Martius 33 17 0 15 Feb 2021
Memory-Augmented Reinforcement Learning for Image-Goal Navigation Lina Mezghani Sainbayar Sukhbaatar Thibaut Lavril Oleksandr Maksymets Dhruv Batra Piotr Bojanowski Alahari Karteek 26 69 0 13 Jan 2021
Model-Based Visual Planning with Self-Supervised Functional Distances Stephen Tian Suraj Nair F. Ebert Sudeep Dasari Benjamin Eysenbach Chelsea Finn Sergey Levine SSL OffRL 168 58 0 30 Dec 2020
Towards Continual Reinforcement Learning: A Review and Perspectives Khimya Khetarpal Matthew D Riemer Irina Rish Doina Precup CLL OffRL 49 307 0 25 Dec 2020
World Model as a Graph: Learning Latent Landmarks for Planning Lunjun Zhang Ge Yang Bradly C. Stadie DRL 12 71 0 25 Nov 2020
Learning Synthetic to Real Transfer for Localization and Navigational Tasks Maxime Pietrantoni Boris Chidlovskii T. Silander 14 0 0 20 Nov 2020
C-Learning: Learning to Achieve Goals via Recursive Classification Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 33 67 0 17 Nov 2020
Hierarchical reinforcement learning for efficient exploration and transfer Lorenzo Steccanella Simone Totaro Damien Allonsius Anders Jonsson BDL 22 8 0 12 Nov 2020
Deep Reinforcement Learning for Navigation in AAA Video Games Eloi Alonso Maxim Peter David Goumard Joshua Romoff 14 36 0 09 Nov 2020
COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning Avi Singh Albert Yu Jonathan Yang Jesse Zhang Aviral Kumar Sergey Levine SSL OffRL OnRL 35 103 0 27 Oct 2020
Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning Brian Ichter P. Sermanet Corey Lynch 17 38 0 13 Oct 2020
Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution Vihang Patil M. Hofmarcher Marius-Constantin Dinu Matthias Dorfer P. Blies Johannes Brandstetter Jose A. Arjona-Medina Sepp Hochreiter 19 42 0 29 Sep 2020
Learning to Set Waypoints for Audio-Visual Navigation Changan Chen Sagnik Majumder Ziad Al-Halah Ruohan Gao Santhosh Kumar Ramakrishnan Kristen Grauman SSL 12 5 0 21 Aug 2020
A Survey of Knowledge-based Sequential Decision Making under Uncertainty Shiqi Zhang Mohan Sridharan 21 16 0 19 Aug 2020
MAPPER: Multi-Agent Path Planning with Evolutionary Reinforcement Learning in Mixed Dynamic Environments Zuxin Liu Baiming Chen Hongyi Zhou G. Koushik M. Hebert Ding Zhao AI4CE 50 86 0 30 Jul 2020
Complex Robotic Manipulation via Graph-Based Hindsight Goal Generation Zhenshan Bing Matthias Brucker F. O. Morin Kai-Qi Huang Alois C. Knoll 19 27 0 27 Jul 2020
Goal-Aware Prediction: Learning to Model What Matters Suraj Nair Silvio Savarese Chelsea Finn 21 64 0 14 Jul 2020