Combined Reinforcement Learning via Abstract Representations

Combined Reinforcement Learning via Abstract Representations

12 September 2018

Vincent François-Lavet

Papers citing "Combined Reinforcement Learning via Abstract Representations"

15 / 15 papers shown

Title
Bridging State and History Representations: Understanding Self-Predictive RL Tianwei Ni Benjamin Eysenbach Erfan Seyedsalehi Michel Ma Clement Gehring Aditya Mahajan Pierre-Luc Bacon AI4TS AI4CE 17 20 0 17 Jan 2024
Disentangled (Un)Controllable Features Jacob E. Kooi Mark Hoogendoorn Vincent François-Lavet DRL 19 0 0 31 Oct 2022
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning Shuang Qiu Lingxiao Wang Chenjia Bai Zhuoran Yang Zhaoran Wang SSL OffRL 26 32 0 29 Jul 2022
Learning List-wise Representation in Reinforcement Learning for Ads Allocation with Multiple Auxiliary Tasks Zehua Wang Guogang Liao Xiaowen Shi Xiaoxu Wu Chuheng Zhang Yongkang Wang Xingxing Wang Dong Wang OffRL 19 4 0 02 Apr 2022
Factored Adaptation for Non-Stationary Reinforcement Learning Fan Feng Biwei Huang Kun Zhang Sara Magliacane CML OffRL 42 32 0 30 Mar 2022
SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement Learning A. Chester Michael Dann Fabio Zambetta John Thangarajah 8 0 0 09 Mar 2022
Component Transfer Learning for Deep RL Based on Abstract Representations Geoffrey van Driessel Vincent François-Lavet DRL OffRL 17 6 0 22 Nov 2021
Low-Dimensional State and Action Representation Learning with MDP Homomorphism Metrics N. Botteghi M. Poel B. Sirmaçek C. Brune 16 3 0 04 Jul 2021
MICo: Improved representations via sampling-based state similarity for Markov decision processes P. S. Castro Tyler Kastner Prakash Panangaden Mark Rowland 26 35 0 03 Jun 2021
Learning First-Order Representations for Planning from Black-Box States: New Results I. D. Rodriguez Blai Bonet J. Romero Hector Geffner NAI 17 21 0 23 May 2021
Combining Planning and Learning of Behavior Trees for Robotic Assembly Jonathan Styrud Matteo Iovino M. Norrlöf Mårten Björkman Christian Smith 27 40 0 16 Mar 2021
Novelty Search in Representational Space for Sample Efficient Exploration Ruo Yu Tao Vincent François-Lavet Joelle Pineau 14 43 0 28 Sep 2020
State Action Separable Reinforcement Learning Ziyao Zhang Liang Ma K. Leung Konstantinos Poularakis M. Srivatsa 15 2 0 05 Jun 2020
Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning Z. Guo Bernardo Avila-Pires Bilal Piot Jean-Bastien Grill Florent Altché Rémi Munos M. G. Azar BDL DRL SSL 27 139 0 30 Apr 2020
Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models Arunkumar Byravan Jost Tobias Springenberg A. Abdolmaleki Roland Hafner Michael Neunert Thomas Lampe Noah Y. Siegel N. Heess Martin Riedmiller OffRL 6 41 0 09 Oct 2019