Horizon: Facebook's Open Source Applied Reinforcement Learning Platform

1 November 2018

Papers citing "Horizon: Facebook's Open Source Applied Reinforcement Learning Platform"

29 / 29 papers shown

Title
Nuclear Microreactor Control with Deep Reinforcement Learning Leo Tunkle Kamal Abdulraheem Linyu Lin M. Radaideh 36 0 0 31 Mar 2025
Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey Zhihong Liu Xin Xu Peng Qiao Dongsheng Li OffRL 29 2 0 08 Nov 2024
Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task Environments Christian Bitter Timo Thun Tobias Meisen 36 1 0 01 Dec 2022
Estimating and Penalizing Induced Preference Shifts in Recommender Systems Micah Carroll Anca Dragan Stuart J. Russell Dylan Hadfield-Menell OffRL 38 41 0 25 Apr 2022
Reinforcement Learning in Practice: Opportunities and Challenges Yuxi Li OffRL 38 9 0 23 Feb 2022
Rule Mining over Knowledge Graphs via Reinforcement Learning Lihan Chen Sihang Jiang Jingping Liu Chao Wang Shenmin Zhang Chenhao Xie Jiaqing Liang Yanghua Xiao Rui Song 44 19 0 21 Feb 2022
RLOps: Development Life-cycle of Reinforcement Learning Aided Open RAN Peizheng Li Jonathan D. Thomas Xiaoyang Wang Ahmed Khalil A. Ahmad ... S. Kapoor Arjun Parekh A. Doufexi Arman Shojaeifard Robert Piechocki AI4TS 14 37 0 12 Nov 2021
Truthful AI: Developing and governing AI that does not lie Owain Evans Owen Cotton-Barratt Lukas Finnveden Adam Bales Avital Balwit Peter Wills Luca Righetti William Saunders HILM 238 111 0 13 Oct 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research J. Luis E. Crawley B. Cameron OffRL 25 6 0 07 Jul 2021
A Minimalist Approach to Offline Reinforcement Learning Scott Fujimoto S. Gu OffRL 58 785 0 12 Jun 2021
OpenGraphGym-MG: Using Reinforcement Learning to Solve Large Graph Optimization Problems on MultiGPU Systems Weijian Zheng Dali Wang Fengguang Song GNN OffRL AI4CE 20 1 0 18 May 2021
Bellman: A Toolbox for Model-Based Reinforcement Learning in TensorFlow John Mcleod Hrvoje Stojić Vincent Adam Dongho Kim Jordi Grau-Moya Peter Vrancx Felix Leibfried OffRL 21 2 0 26 Mar 2021
RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems Martin Mladenov Chih-Wei Hsu Vihan Jain Eugene Ie Christopher Colby Nicolas Mayoraz H. Pham Dustin Tran Ivan Vendrov Craig Boutilier BDL 15 32 0 14 Mar 2021
Reinforcement Learning with Combinatorial Actions: An Application to Vehicle Routing A. Delarue Ross Anderson Christian Tjandraatmadja 35 94 0 22 Oct 2020
Simultaneous Relevance and Diversity: A New Recommendation Inference Approach Yifang Liu Zhe Xu Qiyuan An Yang Yi Yanzhi Wang Trevor Hastie 15 0 0 27 Sep 2020
Acme: A Research Framework for Distributed Reinforcement Learning Matthew W. Hoffman Bobak Shahriari John Aslanides Gabriel Barth-Maron Nikola Momchev ... Srivatsan Srinivasan A. Cowie Ziyun Wang Bilal Piot Nando de Freitas 65 225 0 01 Jun 2020
Fiber: A Platform for Efficient Development and Distributed Training for Reinforcement Learning and Population-Based Methods Jiale Zhi Rui Wang Jeff Clune Kenneth O. Stanley OffRL 30 12 0 25 Mar 2020
An empirical investigation of the challenges of real-world reinforcement learning Gabriel Dulac-Arnold Nir Levine D. Mankowitz Jerry Li Cosmin Paduraru Sven Gowal Todd Hester OffRL 34 121 0 24 Mar 2020
BRPO: Batch Residual Policy Optimization Kentaro Kanamori Yinlam Chow Takuya Takagi Hiroki Arimura Honglak Lee Ken Kobayashi Craig Boutilier OffRL 141 46 0 08 Feb 2020
SLM Lab: A Comprehensive Benchmark and Modular Software Framework for Reproducible Deep Reinforcement Learning Keng Wah Loon L. Graesser Milan Cvitkovic OffRL 26 13 0 28 Dec 2019
Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning Cameron Voloshin Hoang Minh Le Nan Jiang Yisong Yue OffRL 30 152 0 15 Nov 2019
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization Maximilian Balandat Brian Karrer Daniel R. Jiang Sam Daulton Benjamin Letham A. Wilson E. Bakshy 32 93 0 14 Oct 2019
Benchmarking Batch Deep Reinforcement Learning Algorithms Shih-Han Chou Wen-Yen Chang W. Hsu Jianlong Fu OffRL 21 182 0 03 Oct 2019
RecSim: A Configurable Simulation Platform for Recommender Systems Eugene Ie Chih-Wei Hsu Martin Mladenov Vihan Jain Sanmit Narvekar Jing Wang Rui Wu Craig Boutilier 30 178 0 11 Sep 2019
rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch Adam Stooke Pieter Abbeel OffRL 24 96 0 03 Sep 2019
Reinforcement Learning for Slate-based Recommender Systems: A Tractable Decomposition and Practical Methodology Eugene Ie Vihan Jain Jing Wang Sanmit Narvekar Ritesh Agarwal ... Vince Gatto Paul Covington Jim McFadden Tushar Chandra Craig Boutilier OffRL 24 69 0 29 May 2019
Advantage Amplification in Slowly Evolving Latent-State Environments Martin Mladenov Ofer Meshi Jayden Ooi Dale Schuurmans Craig Boutilier OffRL 20 9 0 29 May 2019
Lessons from Contextual Bandit Learning in a Customer Support Bot Nikos Karampatziakis Sebastian Kochman Jade Huang Paul Mineiro Kathy Osborne Weizhu Chen 15 6 0 06 May 2019
Neural Packet Classification Eric Liang Hang Zhu Xin Jin Ion Stoica OffRL 35 120 0 27 Feb 2019