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Learning to Plan with Logical Automata
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-1-4419-1428-6_5086openalex-snapshot
Neuro-dynamic Programming
inferredcites →https://doi.org/10.1007/978-3-319-46520-3_8openalex-snapshot
Spot 2.0 — A Framework for LTL and $$\omega $$ -Automata Manipulation
inferredcites →https://doi.org/10.1007/s10994-009-5106-xopenalex-snapshot
Search-based structured prediction
inferredcites →https://doi.org/10.1109/cdc.2009.5399536openalex-snapshot
Receding horizon temporal logic planning for dynamical systems
inferredcites →https://doi.org/10.1109/cdc.2009.5400278openalex-snapshot
Sampling-based motion planning with deterministic μ-calculus specifications
inferredcites →https://doi.org/10.1109/cdc.2013.6760491openalex-snapshot
Optimal control of MDPs with temporal logic constraints
inferredcites →https://doi.org/10.1109/cvpr.2019.00876openalex-snapshot
Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration
inferredcites →https://doi.org/10.1109/icra.2017.7989177openalex-snapshot
Minimum-violation scLTL motion planning for mobility-on-demand
inferredcites →https://doi.org/10.1109/icra.2018.8460487openalex-snapshot
End-to-End Driving Via Conditional Imitation Learning
inferredcites →https://doi.org/10.1109/iros.2017.8206505openalex-snapshot
Combining neural networks and tree search for task and motion planning in challenging environments
inferredcites →https://doi.org/10.1109/mra.2012.2205651openalex-snapshot
The Open Motion Planning Library
inferredcites →https://doi.org/10.1109/robot.2007.363946openalex-snapshot
Where's Waldo? Sensor-Based Temporal Logic Motion Planning
inferredcites →https://doi.org/10.1109/robot.2010.5509503openalex-snapshot
Sampling-based motion planning with temporal goals
inferredcites →https://doi.org/10.1109/tac.2007.914952openalex-snapshot
A Fully Automated Framework for Control of Linear Systems from Temporal Logic Specifications
inferredcites →https://doi.org/10.1109/tro.2011.2172150openalex-snapshot
Temporal Logic Motion Planning and Control With Probabilistic Satisfaction Guarantees
inferredcites →https://doi.org/10.1145/1015330.1015430openalex-snapshot
Apprenticeship learning via inverse reinforcement learning
inferredcites →https://doi.org/10.1145/2461328.2461380openalex-snapshot
Iterative temporal motion planning for hybrid systems in partially unknown environments
inferredcites →https://doi.org/10.1145/3072959.3073699openalex-snapshot
A deep learning approach for generalized speech animation
inferredcites →https://doi.org/10.1177/0278364913487931openalex-snapshot
Optimality and Robustness in Multi-Robot Path Planning with Temporal Logic Constraints
inferredcites →https://doi.org/10.1177/0278364918774135openalex-snapshot
Simultaneous task allocation and planning for temporal logic goals in heterogeneous multi-robot systems
inferredcites →https://doi.org/10.1184/r1/6550949openalex-snapshot
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
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/10.4018/978-1-60960-165-2.ch004openalex-snapshot
An Introduction to Reinforcement Learning
inferredcites →https://doi.org/10.48550/arxiv.1606.03476openalex-snapshot
Generative Adversarial Imitation Learning
inferredcites →https://doi.org/10.48550/arxiv.1611.01796openalex-snapshot
Modular Multitask Reinforcement Learning with Policy Sketches
inferredcites →https://doi.org/10.48550/arxiv.1611.02779openalex-snapshot
RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning
inferredcites →https://doi.org/10.48550/arxiv.1703.03400openalex-snapshot
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
inferredcites →https://doi.org/10.48550/arxiv.1709.04905openalex-snapshot
One-Shot Visual Imitation Learning via Meta-Learning
inferredcites →https://doi.org/10.48550/arxiv.1802.05313openalex-snapshot
Reinforcement Learning from Imperfect Demonstrations
inferredcites →https://doi.org/10.48550/arxiv.1803.00590openalex-snapshot
Hierarchical Imitation and Reinforcement Learning
inferredcites →https://doi.org/10.48550/arxiv.1806.01946openalex-snapshot
Learning to Understand Goal Specifications by Modelling Reward
inferredcites →https://doi.org/10.65109/fknq6967openalex-snapshot
Teaching Multiple Tasks to an RL Agent using LTL
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-032-06106-5_12openalex-snapshot
Generalization of Compositional Tasks with Logical Specification via Implicit Planning
inferred← citeshttps://doi.org/10.1007/s10514-021-09993-6openalex-snapshot
Learning and planning with logical automata
inferred← citeshttps://doi.org/10.1007/s10514-021-10004-xopenalex-snapshot
Learning temporal logic formulas from suboptimal demonstrations: theory and experiments
inferred← citeshttps://doi.org/10.1007/s10994-021-05963-2openalex-snapshot
Automatic discovery of interpretable planning strategies
inferred← citeshttps://doi.org/10.1109/icra40945.2020.9197297openalex-snapshot
Deep Imitative Reinforcement Learning for Temporal Logic Robot Motion Planning with Noisy Semantic Observations
inferred← citeshttps://doi.org/10.1109/icra55743.2025.11128815openalex-snapshot
Learning Task Specifications from Demonstrations as Probabilistic Automata
inferred← citeshttps://doi.org/10.1109/ijcnn55064.2022.9892304openalex-snapshot
Integrating Symbolic Planning and Reinforcement Learning for Following Temporal Logic Specifications
inferred← citeshttps://doi.org/10.1109/iros45743.2020.9341325openalex-snapshot
Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas
inferred← citeshttps://doi.org/10.1109/iros47612.2022.9981384openalex-snapshot
Optimizing Demonstrated Robot Manipulation Skills for Temporal Logic Constraints
inferred← citeshttps://doi.org/10.1109/iros51168.2021.9636712openalex-snapshot
Probabilistic Specification Learning for Planning with Safety Constraints
inferred← citeshttps://doi.org/10.1109/iros60139.2025.11246452openalex-snapshot
LATMOS: Latent Automaton Task Model from Observation Sequences
inferred← citeshttps://doi.org/10.1109/lra.2021.3135940openalex-snapshot
Learning an Explainable Trajectory Generator Using the Automaton Generative Network (AGN)
inferred← citeshttps://doi.org/10.1109/lra.2021.3139380openalex-snapshot
Learning Policies by Learning Rules
inferred← citeshttps://doi.org/10.1126/scirobotics.aay6276openalex-snapshot
A formal methods approach to interpretable reinforcement learning for robotic planning
inferred← citeshttps://doi.org/10.1126/scirobotics.abd9461openalex-snapshot
Toward next-generation learned robot manipulation
inferred← citeshttps://doi.org/10.1177/02783649251365282openalex-snapshot
Learning an interpretable logic monitor for risk-aware and socially-compliant trajectory planning
inferred← citeshttps://doi.org/10.15607/rss.2020.xvi.097openalex-snapshot
Explaining Multi-stage Tasks by Learning Temporal Logic Formulas from Suboptimal Demonstrations
inferred← citeshttps://doi.org/10.1609/aaai.v34i06.6559openalex-snapshot
Deep Bayesian Nonparametric Learning of Rules and Plans from Demonstrations with a Learned Automaton Prior
inferred← citeshttps://doi.org/10.3389/frobt.2021.689550openalex-snapshot
Compositional RL Agents That Follow Language Commands in Temporal Logic
inferred← citeshttps://doi.org/10.3390/s23031198openalex-snapshot
Safe Decision Controller for Autonomous DrivingBased on Deep Reinforcement Learning inNondeterministic Environment
inferred← citeshttps://doi.org/10.3758/s13428-023-02062-zopenalex-snapshot
Automatic discovery and description of human planning strategies
inferred← citeshttps://doi.org/10.48550/arxiv.2102.12571openalex-snapshot
The Logical Options Framework
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