Overcoming Exploration: Deep Reinforcement Learning for Continuous
Control in Cluttered Environments from Temporal Logic Specifications

Overcoming Exploration: Deep Reinforcement Learning for Continuous Control in Cluttered Environments from Temporal Logic Specifications

28 January 2022

Papers citing "Overcoming Exploration: Deep Reinforcement Learning for Continuous Control in Cluttered Environments from Temporal Logic Specifications"

17 / 17 papers shown

Title
Bridging Deep Reinforcement Learning and Motion Planning for Model-Free Navigation in Cluttered Environments Licheng Luo Mingyu Cai 36 0 0 09 Apr 2025
Adaptive Reward Design for Reinforcement Learning in Complex Robotic Tasks Minjae Kwon Ingy Elsayed-Aly Lu Feng 65 1 0 14 Dec 2024
Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards A. Ahmad Mehdi Kermanshah Kevin J. Leahy Zachary Serlin H. Siu Makai Mann C. Vasile Roberto Tron C. Belta OffRL 61 0 0 26 Nov 2024
Sample-Efficient Reinforcement Learning with Temporal Logic Objectives: Leveraging the Task Specification to Guide Exploration Y. Kantaros Jun Wang 16 4 0 16 Oct 2024
Formal Synthesis of Controllers for Safety-Critical Autonomous Systems: Developments and Challenges Xiang Yin Bingzhao Gao Xiao Yu 24 17 0 20 Feb 2024
Robust Imitation Learning for Automated Game Testing P. Amadori Timothy Bradley Ryan Spick Guy Moss 13 1 0 09 Jan 2024
Mission-driven Exploration for Accelerated Deep Reinforcement Learning with Temporal Logic Task Specifications Jun Wang Hosein Hasanbeig Kaiyuan Tan Zihe Sun Y. Kantaros 18 3 0 28 Nov 2023
LgTS: Dynamic Task Sampling using LLM-generated sub-goals for Reinforcement Learning Agents Yash Shukla Wenchang Gao Vasanth Sarathy Alvaro Velasquez Robert Wright Jivko Sinapov 13 9 0 14 Oct 2023
Energy-Constrained Active Exploration Under Incremental-Resolution Symbolic Perception Disha Kamale S. Haesaert C. Vasile 14 0 0 13 Sep 2023
Vision-Based Reactive Planning and Control of Quadruped Robots in Unstructured Dynamic Environments Tangyu Qian Zhangli Zhou Shaochen Wang Zhijun Li C. Su Z. Kan 19 0 0 17 Jul 2023
Avoidance of Concave Obstacles through Rotation of Nonlinear Dynamics L. Huber Jean-Jacques E. Slotine A. Billard 9 8 0 28 Jun 2023
LQR-CBF-RRT*: Safe and Optimal Motion Planning Guangtao Yang Mingyu Cai A. Ahmad Amanda Prorok Roberto Tron C. Belta 17 4 0 03 Apr 2023
Learning Minimally-Violating Continuous Control for Infeasible Linear Temporal Logic Specifications Mingyu Cai Makai Mann Zachary Serlin Kevin J. Leahy C. Vasile 27 12 0 03 Oct 2022
Exploiting Transformer in Sparse Reward Reinforcement Learning for Interpretable Temporal Logic Motion Planning Haotong Zhang Hao Wang Zheng Kan OffRL 13 12 0 27 Sep 2022
Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions Charles Dawson Zengyi Qin Sicun Gao Chuchu Fan 102 168 0 14 Sep 2021
Modular Deep Reinforcement Learning for Continuous Motion Planning with Temporal Logic Mingyu Cai Mohammadhosein Hasanbeig Shaoping Xiao Alessandro Abate Z. Kan 74 86 0 24 Feb 2021
LTL2Action: Generalizing LTL Instructions for Multi-Task RL Pashootan Vaezipoor Andrew C. Li Rodrigo Toro Icarte Sheila A. McIlraith OffRL AI4CE 31 72 0 13 Feb 2021