Learning to Search with MCTSnets

13 February 2018

David Silver

Papers citing "Learning to Search with MCTSnets"

50 / 56 papers shown

Title
Solving Sokoban using Hierarchical Reinforcement Learning with Landmarks Sergey Pastukhov 31 0 0 06 Apr 2025
What Matters in Hierarchical Search for Combinatorial Reasoning Problems? Michał Zawalski Gracjan Góral Michał Tyrolski Emilia Wisnios Franciszek Budrowski Marek Cygan Łukasz Kuciński Piotr Miłoś 47 0 0 05 Jun 2024
Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping Lucas Lehnert Sainbayar Sukhbaatar DiJia Su Qinqing Zheng Paul Mcvay Michael Rabbat Yuandong Tian 37 54 0 21 Feb 2024
Optimize Planning Heuristics to Rank, not to Estimate Cost-to-Goal Leah A. Chrestien Tomás Pevný Stefan Edelkamp Antonín Komenda 36 9 0 30 Oct 2023
AI planning in the imagination: High-level planning on learned abstract search spaces Carlos Martin T. Sandholm 37 0 0 16 Aug 2023
Thinker: Learning to Plan and Act Stephen Chung Ivan Anokhin David M. Krueger LLMAG OffRL LRM 30 5 0 27 Jul 2023
What model does MuZero learn? Jinke He Thomas M. Moerland F. Oliehoek 33 4 0 01 Jun 2023
A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making Carlos Núnez-Molina Pablo Mesejo Juan Fernández-Olivares 30 3 0 20 Apr 2023
Learning Graph Search Heuristics Michal Pándy Weikang Qiu Gabriele Corso Petar Velivcković Rex Ying J. Leskovec Pietro Lio GNN 32 8 0 07 Dec 2022
Winning the CityLearn Challenge: Adaptive Optimization with Evolutionary Search under Trajectory-based Guidance Vanshaj Khattar Ming Jin 18 12 0 04 Dec 2022
A Differentiable Loss Function for Learning Heuristics in A* Leah A. Chrestien Tomás Pevný Antonín Komenda Stefan Edelkamp 12 0 0 12 Sep 2022
TASKOGRAPHY: Evaluating robot task planning over large 3D scene graphs Christopher Agia Krishna Murthy Jatavallabhula M. Khodeir O. Mikšík Vibhav Vineet Mustafa Mukadam Liam Paull Florian Shkurti 27 68 0 11 Jul 2022
Reinforcement Learning in Practice: Opportunities and Challenges Yuxi Li OffRL 36 9 0 23 Feb 2022
ExPoSe: Combining State-Based Exploration with Gradient-Based Online Search Dixant Mittal Siddharth Aravindan W. Lee OnRL 11 3 0 03 Feb 2022
Differentiable Spatial Planning using Transformers Devendra Singh Chaplot Deepak Pathak Jitendra Malik 27 37 0 02 Dec 2021
Neural Algorithmic Reasoners are Implicit Planners Andreea Deac Petar Velivcković Ognjen Milinković Pierre-Luc Bacon Jian Tang Mladen Nikolic OffRL 34 23 0 11 Oct 2021
Potential-based Reward Shaping in Sokoban Zhao Yang Mike Preuss Aske Plaat OffRL 11 2 0 10 Sep 2021
INVIGORATE: Interactive Visual Grounding and Grasping in Clutter Hanbo Zhang Yunfan Lu Cunjun Yu David Hsu Xuguang Lan Nanning Zheng LM&Ro 26 63 0 25 Aug 2021
High-Accuracy Model-Based Reinforcement Learning, a Survey Aske Plaat W. Kosters Mike Preuss OffRL 21 37 0 17 Jul 2021
ScheduleNet: Learn to solve multi-agent scheduling problems with reinforcement learning Junyoung Park Sanjar Bakhtiyar Jinkyoo Park 18 38 0 06 Jun 2021
Procedural Content Generation: Better Benchmarks for Transfer Reinforcement Learning Matthias Muller-Brockhausen Mike Preuss Aske Plaat 33 9 0 31 May 2021
Transfer Learning and Curriculum Learning in Sokoban Zhao Yang Mike Preuss Aske Plaat OffRL 24 3 0 25 May 2021
Differentiable SLAM-net: Learning Particle SLAM for Visual Navigation Peter Karkus Shaojun Cai David Hsu 14 65 0 17 May 2021
Closing the Planning-Learning Loop with Application to Autonomous Driving Panpan Cai David Hsu 34 13 0 11 Jan 2021
How to Train Your Differentiable Filter Alina Kloss Georg Martius Jeannette Bohg 36 46 0 28 Dec 2020
Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration H. Dai Rishabh Singh Bo Dai Charles Sutton Dale Schuurmans 27 26 0 10 Nov 2020
XLVIN: eXecuted Latent Value Iteration Nets Andreea Deac Petar Velivcković Ognjen Milinković Pierre-Luc Bacon Jian Tang Mladen Nikolic 16 19 0 25 Oct 2020
Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey Aske Plaat W. Kosters Mike Preuss BDL OffRL 21 17 0 11 Aug 2020
Monte-Carlo Tree Search as Regularized Policy Optimization Jean-Bastien Grill Florent Altché Yunhao Tang Thomas Hubert Michal Valko Ioannis Antonoglou Rémi Munos 27 73 0 24 Jul 2020
Model-based Reinforcement Learning: A Survey Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker OffRL 33 47 0 30 Jun 2020
Retro: Learning Retrosynthetic Planning with Neural Guided A Search Binghong Chen Chengtao Li H. Dai Le Song 17 105 0 29 Jun 2020
Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization Peter Karkus A. Angelova Vincent Vanhoucke Rico Jonschkowski 17 11 0 19 May 2020
Combining Q-Learning and Search with Amortized Value Estimates Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez Tobias Pfaff T. Weber Lars Buesing Peter W. Battaglia OffRL 27 47 0 05 Dec 2019
Adaptive Online Planning for Continual Lifelong Learning Kevin Lu Igor Mordatch Pieter Abbeel OffRL OnRL CLL 11 15 0 03 Dec 2019
Learning Transferable Graph Exploration H. Dai Yujia Li Chenglong Wang Rishabh Singh Po-Sen Huang Pushmeet Kohli 17 21 0 28 Oct 2019
Deep Value Model Predictive Control Farbod Farshidian David Hoeller Marco Hutter 17 45 0 08 Oct 2019
Unsupervised Doodling and Painting with Improved SPIRAL John F. J. Mellor Eunbyung Park Yaroslav Ganin Igor Babuschkin Tejas D. Kulkarni Dan Rosenbaum Andy Ballard T. Weber Oriol Vinyals S. M. Ali Eslami 30 44 0 02 Oct 2019
A Review of Tracking, Prediction and Decision Making Methods for Autonomous Driving Florin Leon M. Gavrilescu 22 95 0 17 Sep 2019
On the Feasibility of Learning, Rather than Assuming, Human Biases for Reward Inference Rohin Shah Noah Gundotra Pieter Abbeel Anca Dragan 16 70 0 23 Jun 2019
A novel approach to model exploration for value function learning Zlatan Ajanović Halil Beglerovic B. Lacevic 16 1 0 06 Jun 2019
Differentiable Algorithm Networks for Composable Robot Learning Peter Karkus Xiao Ma David Hsu L. Kaelbling Wee Sun Lee Tomas Lozano-Perez 14 70 0 28 May 2019
Neural Packet Classification Eric Liang Hang Zhu Xin Jin Ion Stoica OffRL 35 120 0 27 Feb 2019
An investigation of model-free planning A. Guez M. Berk Mirza Karol Gregor Rishabh Kabra S. Racanière ... Laurent Orseau Tom Eccles Greg Wayne David Silver Timothy Lillicrap OffRL 25 111 0 11 Jan 2019
Dynamic Planning Networks Norman L. Tasfi Miriam A. M. Capretz 11 5 0 28 Dec 2018
Deep Multi-Agent Reinforcement Learning with Relevance Graphs Aleksandra Malysheva Tegg Taekyong Sung Chae-Bong Sohn D. Kudenko A. Shpilman 11 44 0 30 Nov 2018
Planning in Dynamic Environments with Conditional Autoregressive Models Johanna Hansen Kyle Kastner Aaron Courville Gregory Dudek 14 1 0 25 Nov 2018
The Barbados 2018 List of Open Issues in Continual Learning Tom Schaul H. V. Hasselt Joseph Modayil Martha White Adam White Pierre-Luc Bacon J. Harb Shibl Mourad Marc G. Bellemare Doina Precup LM&Ro 3DV 14 10 0 16 Nov 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 28 144 0 15 Oct 2018
Active Inverse Reward Design Sören Mindermann Rohin Shah Adam Gleave Dylan Hadfield-Menell 16 20 0 09 Sep 2018
Small Sample Learning in Big Data Era Jun Shu Zongben Xu Deyu Meng 29 71 0 14 Aug 2018