Planning
3,482 papers
Papers per year
1
2
1
11
17
15
18
13
26
27
31
26
27
33
102
133
248
264
308
270
394
543
679
293
2000
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Papers
Inductive Invariants That Spark Joy: Using Invariant Taxonomies to Streamline Distributed Protocol Proofs
OSDI 2024
Inference and Learning in Dynamic Decision Networks Using Knowledge Compilation
AAAI 2024
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference
NeurIPS 2024
InfoCon: Concept Discovery with Generative and Discriminative Informativeness
ICLR 2024
Instance-adaptive Zero-shot Chain-of-Thought Prompting
NeurIPS 2024
Instructing Large Language Models to Identify and Ignore Irrelevant Conditions
NAACL 2024
InstructNav: Zero-shot System for Generic Instruction Navigation in Unexplored Environment
CoRL 2024
Instruct, Not Assist: LLM-based Multi-Turn Planning and Hierarchical Questioning for Socratic Code Debugging
EMNLP 2024
Integrating Intent Understanding and Optimal Behavior Planning for Behavior Tree Generation from Human Instructions
IJCAI 2024
Integrating Planning and Deep Reinforcement Learning via Automatic Induction of Task Substructures
ICLR 2024
Intention Progression with Temporally Extended Goals
IJCAI 2024
Interactive Plan Selection Using Linear Temporal Logic, Disjunctive Action Landmarks, and Natural Language Instruction
AAAI 2024
Interactive Theorem Provers: Applications in AI, Opportunities, and Challenges
AAAI 2024
INTERPRET: Interactive Predicate Learning from Language Feedback for Generalizable Task Planning
RSS 2024
Introspective Planning: Aligning Robots' Uncertainty with Inherent Task Ambiguity
NeurIPS 2024
Inverse optimal control as an errors-in-variables problem
L4DC 2024
I Open at the Close: A Deep Reinforcement Learning Evaluation of Open Streets Initiatives
AAAI 2024
I-PHYRE: Interactive Physical Reasoning
ICLR 2024
Is Ego Status All You Need for Open-Loop End-to-End Autonomous Driving?
CVPR 2024
Is Inverse Reinforcement Learning Harder than Standard Reinforcement Learning? A Theoretical Perspective
ICML 2024
ItiNera: Integrating Spatial Optimization with Large Language Models for Open-domain Urban Itinerary Planning
EMNLP 2024
It’s Not Easy Being Wrong: Large Language Models Struggle with Process of Elimination Reasoning
ACL 2024
iVideoGPT: Interactive VideoGPTs are Scalable World Models
NeurIPS 2024
Knowledge Planning in Large Language Models for Domain-Aligned Counseling Summarization
EMNLP 2024
L2P-MIP: Learning to Presolve for Mixed Integer Programming
ICLR 2024