Deep reinforcement learning under signal temporal logic constraints using Lagrangian relaxation

21 January 2022

Papers citing "Deep reinforcement learning under signal temporal logic constraints using Lagrangian relaxation"

6 / 6 papers shown

Title
LTL-Constrained Policy Optimization with Cycle Experience Replay Ameesh Shah Cameron Voloshin Chenxi Yang Abhinav Verma Swarat Chaudhuri S. Seshia 29 1 0 17 Apr 2024
Neural Controller Synthesis for Signal Temporal Logic Specifications Using Encoder-Decoder Structured Networks Wataru Hashimoto Kazumune Hashimoto M. Kishida S. Takai 32 1 0 10 Dec 2022
Model-Free Reinforcement Learning for Optimal Control of MarkovDecision Processes Under Signal Temporal Logic Specifications K. C. Kalagarla Rahul Jain Pierluigi Nuzzo 26 11 0 27 Sep 2021
Modular Deep Reinforcement Learning for Continuous Motion Planning with Temporal Logic Mingyu Cai Mohammadhosein Hasanbeig Shaoping Xiao Alessandro Abate Z. Kan 80 86 0 24 Feb 2021
Learning from Demonstrations using Signal Temporal Logic Aniruddh Gopinath Puranic Jyotirmoy V. Deshmukh S. Nikolaidis 37 25 0 15 Feb 2021
LTL2Action: Generalizing LTL Instructions for Multi-Task RL Pashootan Vaezipoor Andrew C. Li Rodrigo Toro Icarte Sheila A. McIlraith OffRL AI4CE 42 73 0 13 Feb 2021