ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2410.12175
  4. Cited By
Reinforcement Learning with LTL and $ω$-Regular Objectives via
  Optimality-Preserving Translation to Average Rewards

Reinforcement Learning with LTL and ωωω-Regular Objectives via Optimality-Preserving Translation to Average Rewards

Neural Information Processing Systems (NeurIPS), 2024
16 October 2024
Xuan-Bach Le
Dominik Wagner
Leon Witzman
Alexander Rabinovich
Luke Ong
ArXiv (abs)PDFHTML

Papers citing "Reinforcement Learning with LTL and $ω$-Regular Objectives via Optimality-Preserving Translation to Average Rewards"

5 / 5 papers shown
Title
Reinforcement Learning with $ω$-Regular Objectives and Constraints
Reinforcement Learning with ωωω-Regular Objectives and Constraints
Dominik Wagner
Leon Witzman
Luke Ong
24
0
0
25 Nov 2025
Accelerated Learning with Linear Temporal Logic using Differentiable Simulation
Accelerated Learning with Linear Temporal Logic using Differentiable Simulation
Alper Kamil Bozkurt
Calin Belta
Ming C. Lin
199
0
0
01 Jun 2025
HypRL: Reinforcement Learning of Control Policies for Hyperproperties
HypRL: Reinforcement Learning of Control Policies for Hyperproperties
Tzu-Han Hsu
Arshia Rafieioskouei
Borzoo Bonakdarpour
414
1
0
07 Apr 2025
DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL
DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RLInternational Conference on Learning Representations (ICLR), 2024
Mathias Jackermeier
Alessandro Abate
OffRL
318
10
0
06 Oct 2024
Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey
Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey
Chao Yu
Xuejing Zheng
H. Zhuo
OffRLLRM
315
10
0
24 Apr 2023
1