Planning
3,482 papers
Papers per year
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Papers
LaneGraph2Seq: Lane Topology Extraction with Language Model via Vertex-Edge Encoding and Connectivity Enhancement
AAAI 2024
LangSuit·E: Planning, Controlling and Interacting with Large Language Models in Embodied Text Environments
ACL 2024
Language-Augmented Symbolic Planner for Open-World Task Planning
RSS 2024
Language-guided Manipulator Motion Planning with Bounded Task Space
CoRL 2024
Language-guided World Models: A Model-based Approach to AI Control
ACL 2024
Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models
EMNLP 2024
Large Language Models as Planning Domain Generators (Student Abstract)
AAAI 2024
Large Language Models Play StarCraft II:Benchmarks and A Chain of Summarization Approach
NeurIPS 2024
Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference
NeurIPS 2024
Layered and Staged Monte Carlo Tree Search for SMT Strategy Synthesis
IJCAI 2024
Laying the Foundations for Solving FOND HTN Problems: Grounding, Search, Heuristics (and Benchmark Problems)
IJCAI 2024
LeanReasoner: Boosting Complex Logical Reasoning with Lean
NAACL 2024
Learn from Failure: Fine-tuning LLMs with Trial-and-Error Data for Intuitionistic Propositional Logic Proving
ACL 2024
Learning-based rigid tube model predictive control
L4DC 2024
Learning Compositional Behaviors from Demonstration and Language
CoRL 2024
Learning Domain-Independent Heuristics for Grounded and Lifted Planning
AAAI 2024
Learning for CasADi: Data-driven Models in Numerical Optimization
L4DC 2024
Learning Formal Mathematics From Intrinsic Motivation
NeurIPS 2024
Learning GAI-Decomposable Utility Models for Multiattribute Decision Making
AAAI 2024
Learning Generalizable and Composable Abstractions for Transfer in Reinforcement Learning
AAAI 2024
Learning Generalized Policies for Fully Observable Non-Deterministic Planning Domains
IJCAI 2024
Learning Grounded Action Abstractions from Language
ICLR 2024
Learning Hierarchical World Models with Adaptive Temporal Abstractions from Discrete Latent Dynamics
ICLR 2024
Learning interpretable control inputs and dynamics underlying animal locomotion
ICLR 2024
Learning Long-Horizon Action Dependencies in Sampling-Based Bilevel Planning
CoRL 2024