Reduce, Reuse, Recycle: Categories for Compositional Reinforcement Learning

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Reduce, Reuse, Recycle: Categories for Compositional Reinforcement Learning

23 August 2024

Georgios Bakirtzis

Sandeep Chinchali

Ufuk Topcu

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Papers citing "Reduce, Reuse, Recycle: Categories for Compositional Reinforcement Learning"

19 / 19 papers shown

Title
State Combinatorial Generalization In Decision Making With Conditional Diffusion Models Xintong Duan Yutong He Fahim Tajwar Wen-Tse Chen Ruslan Salakhutdinov Jeff Schneider OffRL AI4CE 145 1 0 22 Jan 2025
Reinforcement Learning in Categorical Cybernetics Jules Hedges Riu Rodríguez Sakamoto 63 3 0 03 Apr 2024
Misspecification in Inverse Reinforcement Learning Joar Skalse Alessandro Abate 64 24 0 06 Dec 2022
Categorical semantics of compositional reinforcement learning Georgios Bakirtzis M. Savvas Ufuk Topcu CoGe 103 4 0 29 Aug 2022
CompoSuite: A Compositional Reinforcement Learning Benchmark Jorge Armando Mendez Mendez Marcel Hussing Meghna Gummadi Eric Eaton CoGe OffRL 72 14 0 08 Jul 2022
Modular Lifelong Reinforcement Learning via Neural Composition Jorge Armando Mendez Mendez H. V. Seijen Eric Eaton OffRL KELM CLL 134 41 0 01 Jul 2022
Environment Generation for Zero-Shot Compositional Reinforcement Learning Izzeddin Gur Natasha Jaques Yingjie Miao Jongwook Choi Manoj Kumar Tiwari Honglak Lee Aleksandra Faust 74 43 0 21 Jan 2022
Compositional Reinforcement Learning from Logical Specifications Kishor Jothimurugan Suguman Bansal Osbert Bastani Rajeev Alur CoGe 118 81 0 25 Jun 2021
Solving Compositional Reinforcement Learning Problems via Task Reduction Yunfei Li Yilin Wu Huazhe Xu Xiaolong Wang Yi Wu 62 19 0 13 Mar 2021
Categorical Foundations of Gradient-Based Learning Geoffrey S. H. Cruttwell Bruno Gavranović Neil Ghani Paul W. Wilson Fabio Zanasi FedML 59 70 0 02 Mar 2021
Co-Design of Autonomous Systems: From Hardware Selection to Control Synthesis G. Zardini A. Censi Emilio Frazzoli 60 29 0 21 Nov 2020
Co-Design of Embodied Intelligence: A Structured Approach G. Zardini Dejan Milojevic A. Censi Emilio Frazzoli 104 23 0 21 Nov 2020
Representable Markov Categories and Comparison of Statistical Experiments in Categorical Probability Tobias Fritz Tomáš Gonda Paolo Perrone E. F. Rischel 48 36 0 14 Oct 2020
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning Yuke Zhu J. Wong Ajay Mandlekar Roberto Martín-Martín Abhishek Joshi Soroush Nasiriany Yifeng Zhu Soroush Nasiriany Yifeng Zhu 177 445 0 25 Sep 2020
A Boolean Task Algebra for Reinforcement Learning Geraud Nangue Tasse Steven D. James Benjamin Rosman 80 54 0 06 Jan 2020
Exploration in Structured Reinforcement Learning Jungseul Ok Alexandre Proutiere Damianos Tranos 175 64 0 03 Jun 2018
Data-Efficient Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine OffRL 102 812 0 21 May 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 317 8,420 0 04 Jan 2018
Learning Modular Neural Network Policies for Multi-Task and Multi-Robot Transfer Coline Devin Abhishek Gupta Trevor Darrell Pieter Abbeel Sergey Levine OffRL 84 400 0 22 Sep 2016