Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning

21 February 2023

Papers citing "Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning"

22 / 22 papers shown

Title
PALMER: Perception-Action Loop with Memory for Long-Horizon Planning Onur Beker Mohammad Mohammadi Amir Zamir 51 3 0 08 Dec 2022
Towards Safe Reinforcement Learning with a Safety Editor Policy Haonan Yu Wei Xu Haichao Zhang OffRL 108 31 0 28 Jan 2022
Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning Junsup Kim Younggyo Seo Jinwoo Shin 60 59 0 26 Oct 2021
Compositional Reinforcement Learning from Logical Specifications Kishor Jothimurugan Suguman Bansal Osbert Bastani Rajeev Alur CoGe 69 79 0 25 Jun 2021
Verifiable and Compositional Reinforcement Learning Systems Cyrus Neary Christos K. Verginis Murat Cubuktepe Ufuk Topcu CoGe OffRL 49 17 0 07 Jun 2021
Constrained Markov Decision Processes via Backward Value Functions Harsh Satija Philip Amortila Joelle Pineau 66 52 0 26 Aug 2020
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods Adam Stooke Joshua Achiam Pieter Abbeel 49 291 0 08 Jul 2020
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning Tianren Zhang Shangqi Guo Tian Tan Xiaolin Hu Feng Chen 42 85 0 20 Jun 2020
Variational Temporal Abstraction Taesup Kim Sungjin Ahn Yoshua Bengio DRL 62 65 0 02 Oct 2019
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 53 289 0 12 Jun 2019
An Introduction to Deep Reinforcement Learning Vincent François-Lavet Peter Henderson Riashat Islam Marc G. Bellemare Joelle Pineau OffRL AI4CE 109 1,242 0 30 Nov 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 81 558 0 12 Oct 2018
ViZDoom Competitions: Playing Doom from Pixels Marek Wydmuch Michal Kempka Wojciech Ja'skowski 41 119 0 10 Sep 2018
Reward Constrained Policy Optimization Chen Tessler D. Mankowitz Shie Mannor 66 540 0 28 May 2018
Data-Efficient Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine OffRL 87 803 0 21 May 2018
A Lyapunov-based Approach to Safe Reinforcement Learning Yinlam Chow Ofir Nachum Edgar A. Duénez-Guzmán Mohammad Ghavamzadeh 149 504 0 20 May 2018
Accelerated Primal-Dual Policy Optimization for Safe Reinforcement Learning Qingkai Liang Fanyu Que E. Modiano 49 102 0 19 Feb 2018
Diversity is All You Need: Learning Skills without a Reward Function Benjamin Eysenbach Abhishek Gupta Julian Ibarz Sergey Levine 70 1,075 0 16 Feb 2018
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation Tejas D. Kulkarni Karthik Narasimhan A. Saeedi J. Tenenbaum 51 1,133 0 20 Apr 2016
Risk-Constrained Reinforcement Learning with Percentile Risk Criteria Yinlam Chow Mohammad Ghavamzadeh Lucas Janson Marco Pavone 58 510 0 05 Dec 2015
Informed RRT*: Optimal Sampling-based Path Planning Focused via Direct Sampling of an Admissible Ellipsoidal Heuristic Jonathan Gammell S. Srinivasa Timothy D. Barfoot 48 831 0 08 Apr 2014
Sampling-based Algorithms for Optimal Motion Planning S. Karaman Emilio Frazzoli 75 4,660 0 05 May 2011