Learnings Options End-to-End for Continuous Action Tasks

Learnings Options End-to-End for Continuous Action Tasks

30 November 2017

Martin Klissarov

Pierre-Luc Bacon

Papers citing "Learnings Options End-to-End for Continuous Action Tasks"

17 / 17 papers shown

Title
Electric Bus Charging Schedules Relying on Real Data-Driven Targets Based on Hierarchical Deep Reinforcement Learning Jiaju Qi Lei Lei Thorsteinn Jonsson L. Hanzo 18 0 0 15 May 2025
DIPPER: Direct Preference Optimization to Accelerate Primitive-Enabled Hierarchical Reinforcement Learning Utsav Singh Souradip Chakraborty Wesley A Suttle Brian M. Sadler Vinay P. Namboodiri Amrit Singh Bedi OffRL 53 0 0 03 Jan 2025
LGR2: Language Guided Reward Relabeling for Accelerating Hierarchical Reinforcement Learning Utsav Singh Pramit Bhattacharyya Vinay P. Namboodiri LM&Ro 47 1 0 09 Jun 2024
CRISP: Curriculum inducing Primitive Informed Subgoal Prediction Utsav Singh Vinay P. Namboodiri 36 3 0 07 Apr 2023
Leveraging Sequentiality in Reinforcement Learning from a Single Demonstration Alexandre Chenu Olivier Serris Olivier Sigaud Nicolas Perrin-Gilbert 33 4 0 09 Nov 2022
Coordinating Policies Among Multiple Agents via an Intelligent Communication Channel Dianbo Liu Vedant Shah Oussama Boussif Cristian Meo Anirudh Goyal Tianmin Shu Michael C. Mozer N. Heess Yoshua Bengio 27 0 0 21 May 2022
Flexible Option Learning Martin Klissarov Doina Precup OffRL 41 26 0 06 Dec 2021
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning Dhruv Shah Peng Xu Yao Lu Ted Xiao Alexander Toshev Sergey Levine Brian Ichter OffRL 37 41 0 04 Nov 2021
Hierarchical Reinforcement Learning By Discovering Intrinsic Options Jesse Zhang Haonan Yu Wenyuan Xu BDL 132 82 0 16 Jan 2021
Early Anomaly Detection in Time Series: A Hierarchical Approach for Predicting Critical Health Episodes Vítor Cerqueira Luís Torgo Carlos Soares AI4TS 19 8 0 22 Oct 2020
Learning Event-triggered Control from Data through Joint Optimization Niklas Funk Dominik Baumann V. Berenz Sebastian Trimpe 18 17 0 11 Aug 2020
Efficient Deep Reinforcement Learning via Adaptive Policy Transfer Tianpei Yang Jianye Hao Zhaopeng Meng Zongzhang Zhang Yujing Hu ... Changjie Fan Weixun Wang Wulong Liu Zhaodong Wang J. Peng OffRL 22 12 0 19 Feb 2020
An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning Tianpei Yang Weixun Wang Hongyao Tang Jianye Hao Zhaopeng Meng ... Wulong Liu Chen Zhang Yujing Hu Yingfeng Chen Changjie Fan 26 22 0 19 Feb 2020
On the Role of Weight Sharing During Deep Option Learning Matthew D Riemer Ignacio Cases Clemens Rosenbaum Miao Liu Gerald Tesauro OffRL 14 18 0 31 Dec 2019
DynoPlan: Combining Motion Planning and Deep Neural Network based Controllers for Safe HRL Daniel Angelov Yordan V. Hristov S. Ramamoorthy 19 1 0 24 Jun 2019
DAC: The Double Actor-Critic Architecture for Learning Options Shangtong Zhang Shimon Whiteson 30 72 0 29 Apr 2019
Learning Actionable Representations with Goal-Conditioned Policies Dibya Ghosh Abhishek Gupta Sergey Levine 32 109 0 19 Nov 2018