TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep
Reinforcement Learning

TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning

31 October 2017

Gregory Farquhar

Tim Rocktaschel

Shimon Whiteson

Papers citing "TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning"

18 / 18 papers shown

Title
ReaCritic: Large Reasoning Transformer-based DRL Critic-model Scaling For Heterogeneous Networks Feiran You Hongyang Du OffRL LRM 24 0 0 16 May 2025
AI planning in the imagination: High-level planning on learned abstract search spaces Carlos Martin T. Sandholm 37 0 0 16 Aug 2023
A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making Carlos Núnez-Molina Pablo Mesejo Juan Fernández-Olivares 32 3 0 20 Apr 2023
Combinatorial optimization and reasoning with graph neural networks Quentin Cappart Didier Chételat Elias Boutros Khalil Andrea Lodi Christopher Morris Petar Velickovic AI4CE 32 348 0 18 Feb 2021
A Survey on Deep Reinforcement Learning for Audio-Based Applications S. Latif Heriberto Cuayáhuitl Farrukh Pervez Fahad Shamshad Hafiz Shehbaz Ali Min Zhang OffRL 60 73 0 01 Jan 2021
Forethought and Hindsight in Credit Assignment Veronica Chelu Doina Precup H. V. Hasselt 22 25 0 26 Oct 2020
A Survey of Deep Reinforcement Learning in Video Games Kun Shao Zhentao Tang Yuanheng Zhu Nannan Li Dongbin Zhao OffRL AI4TS 43 188 0 23 Dec 2019
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
Differentiable Algorithm Networks for Composable Robot Learning Peter Karkus Xiao Ma David Hsu L. Kaelbling Wee Sun Lee Tomas Lozano-Perez 22 70 0 28 May 2019
Fast Efficient Hyperparameter Tuning for Policy Gradients Supratik Paul Vitaly Kurin Shimon Whiteson 22 32 0 18 Feb 2019
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids Yunzhu Li Jiajun Wu Russ Tedrake J. Tenenbaum Antonio Torralba PINN AI4CE 32 389 0 03 Oct 2018
Combined Reinforcement Learning via Abstract Representations Vincent François-Lavet Yoshua Bengio Doina Precup Joelle Pineau OffRL 30 89 0 12 Sep 2018
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 42 643 0 01 Jul 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 121 3,087 0 04 Jun 2018
Particle Filter Networks with Application to Visual Localization Peter Karkus David Hsu Wee Sun Lee 3DPC 27 117 0 23 May 2018
Universal Planning Networks A. Srinivas Allan Jabri Pieter Abbeel Sergey Levine Chelsea Finn SSL 30 145 0 02 Apr 2018
Learning to Search with MCTSnets A. Guez T. Weber Ioannis Antonoglou Karen Simonyan Oriol Vinyals Daan Wierstra Rémi Munos David Silver 34 85 0 13 Feb 2018
Thinking Fast and Slow with Deep Learning and Tree Search Thomas W. Anthony Zheng Tian David Barber 19 384 0 23 May 2017