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On the (In)Tractability of Reinforcement Learning for LTL Objectives

On the (In)Tractability of Reinforcement Learning for LTL Objectives

24 November 2021
Cambridge Yang
Michael Littman
Michael Carbin
ArXivPDFHTML

Papers citing "On the (In)Tractability of Reinforcement Learning for LTL Objectives"

3 / 3 papers shown
Title
Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning
Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning
Beyazit Yalcinkaya
Niklas Lauffer
Marcell Vazquez-Chanlatte
S. Seshia
AI4CE
57
5
0
31 Oct 2024
Diffusion Meets Options: Hierarchical Generative Skill Composition for
  Temporally-Extended Tasks
Diffusion Meets Options: Hierarchical Generative Skill Composition for Temporally-Extended Tasks
Zeyu Feng
Hao Luan
Kevin Yuchen Ma
Harold Soh
34
2
0
03 Oct 2024
LTL-Constrained Policy Optimization with Cycle Experience Replay
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
1