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Planning with State Abstractions for Non-Markovian Task Specifications

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-4613-8928-6_23openalex-snapshot
On a Decision Method in Restricted Second Order Arithmetic
inferredcites →https://doi.org/10.1007/s10514-014-9418-8openalex-snapshot
Provably correct reactive control from natural language
inferredcites →https://doi.org/10.1016/j.automatica.2008.08.008openalex-snapshot
Temporal logic motion planning for dynamic robots
inferredcites →https://doi.org/10.1016/s0004-3702(99)00052-1openalex-snapshot
Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning
inferredcites →https://doi.org/10.1109/cdc.2011.6161122openalex-snapshot
MDP optimal control under temporal logic constraints
inferredcites →https://doi.org/10.1109/cdc.2012.6426174openalex-snapshot
Robust control of uncertain Markov Decision Processes with temporal logic specifications
inferredcites →https://doi.org/10.1109/cdc.2014.7039527openalex-snapshot
A learning based approach to control synthesis of Markov decision processes for linear temporal logic specifications
inferredcites →https://doi.org/10.1109/cdc.2017.8263891openalex-snapshot
Robust multi-layered sampling-based path planning for temporal logic-based missions
inferredcites →https://doi.org/10.1109/cdc.2017.8264386openalex-snapshot
Interpretable apprenticeship learning with temporal logic specifications
inferredcites →https://doi.org/10.1109/iros.2010.5650371openalex-snapshot
LTLMoP: Experimenting with language, Temporal Logic and robot control
inferredcites →https://doi.org/10.1109/iros.2014.6943085openalex-snapshot
Sampling-based tree search with discrete abstractions for motion planning with dynamics and temporal logic
inferredcites →https://doi.org/10.1109/iros.2016.7759412openalex-snapshot
A model for verifiable grounding and execution of complex natural language instructions
inferredcites →https://doi.org/10.1109/iros.2018.8593943openalex-snapshot
PiDrone: An Autonomous Educational Drone Using Raspberry Pi and Python
inferredcites →https://doi.org/10.1109/lra.2017.2727514openalex-snapshot
Cost-Aware Path Planning Under Co-Safe Temporal Logic Specifications
inferredcites →https://doi.org/10.1109/tac.2014.2298143openalex-snapshot
Optimal Control of Markov Decision Processes With Linear Temporal Logic Constraints
inferredcites →https://doi.org/10.1145/2814347.2814350openalex-snapshot
3D Collaboration Method over HoloLens™ and Skype™ End Points
inferredcites →https://doi.org/10.1163/156855308x344864openalex-snapshot
Translating Structured English to Robot Controllers
inferredcites →https://doi.org/10.15607/rss.2014.x.039openalex-snapshot
Probably Approximately Correct MDP Learning and Control With Temporal Logic Constraints
inferredcites →https://doi.org/10.15607/rss.2015.xi.018openalex-snapshot
Grounding English Commands to Reward Functions
inferredcites →https://doi.org/10.15607/rss.2018.xiv.067openalex-snapshot
Sequence-to-Sequence Language Grounding of Non-Markovian Task Specifications
inferredcites →https://doi.org/10.1609/icaps.v27i1.13867openalex-snapshot
Planning with Abstract Markov Decision Processes
inferredcites →https://doi.org/10.1613/jair.5575openalex-snapshot
From Skills to Symbols: Learning Symbolic Representations for Abstract High-Level Planning
inferredcites →https://doi.org/10.18653/v1/w17-3204openalex-snapshot
Six Challenges for Neural Machine Translation
inferredcites →https://doi.org/10.23919/acc.2019.8814646openalex-snapshot
Compositional planning in Markov decision processes: Temporal abstraction meets generalized logic composition
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot
Adam: A Method for Stochastic Optimization
inferredcites →https://doi.org/10.48550/arxiv.1509.07582openalex-snapshot
Constructing Abstraction Hierarchies Using a Skill-Symbol Loop
inferredcites →https://doi.org/10.48550/arxiv.1604.06057openalex-snapshot
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation
inferredcites →https://doi.org/10.48550/arxiv.1802.04302openalex-snapshot
Evaluating Compositionality in Sentence Embeddings

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-031-45072-3_13openalex-snapshot
Semantic Role Assisted Natural Language Rule Formalization for Intelligent Vehicle
inferred← citeshttps://doi.org/10.1007/978-3-031-75778-5_6openalex-snapshot
What Is Formal Verification Without Specifications? A Survey on Mining LTL Specifications
inferred← citeshttps://doi.org/10.1007/s10514-022-10043-yopenalex-snapshot
Hierarchical planning with state abstractions for temporal task specifications
inferred← citeshttps://doi.org/10.1109/access.2026.3721879openalex-snapshot
GCR-RL: Gradient Control Reward Shaping for Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/iccr51572.2020.9344198openalex-snapshot
Grounding Implicit Goal Description for Robot Indoor Navigation via Recursive Belief Update
inferred← citeshttps://doi.org/10.1109/icra40945.2020.9197068openalex-snapshot
Grounding Language to Landmarks in Arbitrary Outdoor Environments
inferred← citeshttps://doi.org/10.1109/icra46639.2022.9812169openalex-snapshot
Generalizing to New Domains by Mapping Natural Language to Lifted LTL
inferred← citeshttps://doi.org/10.1109/icra46639.2022.9812355openalex-snapshot
Using Language to Generate State Abstractions for Long-Range Planning in Outdoor Environments
inferred← citeshttps://doi.org/10.1109/icra48891.2023.10161125openalex-snapshot
Data-Efficient Learning of Natural Language to Linear Temporal Logic Translators for Robot Task Specification
inferred← citeshttps://doi.org/10.1109/icra55743.2025.11128420openalex-snapshot
SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models
inferred← citeshttps://doi.org/10.1109/iros58592.2024.10801817openalex-snapshot
CoT-TL: Low-Resource Temporal Knowledge Representation of Planning Instructions Using Chain-of-Thought Reasoning
inferred← citeshttps://doi.org/10.1109/iros58592.2024.10802696openalex-snapshot
Lang2LTL-2: Grounding Spatiotemporal Navigation Commands Using Large Language and Vision-Language Models
inferred← citeshttps://doi.org/10.1109/iv55156.2024.10588650openalex-snapshot
TR2MTL: LLM based framework for Metric Temporal Logic Formalization of Traffic Rules
inferred← citeshttps://doi.org/10.1109/lra.2020.2977217openalex-snapshot
Planning With Uncertain Specifications (PUnS)
inferred← citeshttps://doi.org/10.1145/3371382.3377437openalex-snapshot
Interactive Robot Training for Temporal Tasks
inferred← citeshttps://doi.org/10.15607/rss.2020.xvi.016openalex-snapshot
Grounding Language to Non-Markovian Tasks with No Supervision of Task Specifications
inferred← citeshttps://doi.org/10.48550/arxiv.2003.02232openalex-snapshot
Interactive Robot Training for Non-Markov Tasks
inferred← citeshttps://doi.org/10.48550/arxiv.2102.12571openalex-snapshot
The Logical Options Framework
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