Sub-policy Adaptation for Hierarchical Reinforcement Learning

Sub-policy Adaptation for Hierarchical Reinforcement Learning

13 June 2019

Alexander C. Li

Carlos Florensa

Pieter Abbeel

Papers citing "Sub-policy Adaptation for Hierarchical Reinforcement Learning"

18 / 18 papers shown

Title
Adaptive trajectory-constrained exploration strategy for deep reinforcement learning Guojian Wang Faguo Wu Xiao Zhang Ning Guo Zhiming Zheng 28 3 0 27 Dec 2023
Machine Learning Meets Advanced Robotic Manipulation Saeid Nahavandi R. Alizadehsani D. Nahavandi Chee Peng Lim Kevin Kelly Fernando Bello 24 17 0 22 Sep 2023
PushWorld: A benchmark for manipulation planning with tools and movable obstacles Ken Kansky Skanda Vaidyanath Scott Swingle Xinghua Lou Miguel Lazaro-Gredilla Dileep George 21 4 0 24 Jan 2023
CIM: Constrained Intrinsic Motivation for Sparse-Reward Continuous Control Xiang Zheng Xingjun Ma Cong Wang 28 1 0 28 Nov 2022
SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration Giulia Vezzani Dhruva Tirumala Markus Wulfmeier Dushyant Rao A. Abdolmaleki ... Tim Hertweck Thomas Lampe Fereshteh Sadeghi N. Heess Martin Riedmiller OffRL 28 6 0 24 Nov 2022
DMAP: a Distributed Morphological Attention Policy for Learning to Locomote with a Changing Body A. Chiappa Alessandro Marin Vargas Alexander Mathis 19 7 0 28 Sep 2022
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey A. Aubret L. Matignon S. Hassas 31 35 0 19 Sep 2022
Hierarchical Reinforcement Learning under Mixed Observability Hai V. Nguyen Zhihan Yang Andrea Baisero Xiao Ma Robert W. Platt Chris Amato 12 4 0 02 Apr 2022
Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning L. Pullum 11 2 0 22 Mar 2022
SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement Learning A. Chester Michael Dann Fabio Zambetta John Thangarajah 11 0 0 09 Mar 2022
Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization Minghuan Liu Zhengbang Zhu Yuzheng Zhuang Weinan Zhang Jianye Hao Yong Yu J. Wang 24 11 0 04 Mar 2022
ASHA: Assistive Teleoperation via Human-in-the-Loop Reinforcement Learning S. Chen Jensen Gao S. Reddy Glen Berseth Anca Dragan Sergey Levine OffRL 17 11 0 05 Feb 2022
Guided Imitation of Task and Motion Planning M. McDonald Dylan Hadfield-Menell 77 20 0 06 Dec 2021
Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives Murtaza Dalal Deepak Pathak Ruslan Salakhutdinov 21 90 0 28 Oct 2021
Hierarchical Skills for Efficient Exploration Jonas Gehring Gabriel Synnaeve Andreas Krause Nicolas Usunier 26 40 0 20 Oct 2021
Program Synthesis Guided Reinforcement Learning for Partially Observed Environments Yichen Yang J. Inala Osbert Bastani Yewen Pu Armando Solar-Lezama Martin Rinard 36 12 0 22 Feb 2021
Data-efficient Hindsight Off-policy Option Learning Markus Wulfmeier Dushyant Rao Roland Hafner Thomas Lampe A. Abdolmaleki ... Michael Neunert Dhruva Tirumala Noah Y. Siegel N. Heess Martin Riedmiller OffRL 18 47 0 30 Jul 2020
Emergence of Locomotion Behaviours in Rich Environments N. Heess TB Dhruva S. Sriram Jay Lemmon J. Merel ... Tom Erez Ziyun Wang S. M. Ali Eslami Martin Riedmiller David Silver 131 928 0 07 Jul 2017