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Planning

3112 directly classified papers

Papers per year

Papers

Physics-Informed Representation and Learning: Control and Risk Quantification AAAI 2024

PDE control gym: A benchmark for data-driven boundary control of partial differential equations L4DC 2024

Semantic Skill Grounding for Embodied Instruction-Following in Cross-Domain Environments ACL 2024

Stability Analysis of Switched Linear Systems with Neural Lyapunov Functions AAAI 2024

On the Computational Complexity of Plan Verification, (Bounded) Plan-Optimality Verification, and Bounded Plan Existence AAAI 2024

Deep Learning-Based Alternative Route Computation AISTATS 2024

GOALNET: Interleaving Neural Goal Predicate Inference with Classical Planning for Generalization in Robot Instruction Following AAAI 2024

Learning Domain-Independent Heuristics for Grounded and Lifted Planning AAAI 2024

Reasoning in Token Economies: Budget-Aware Evaluation of LLM Reasoning Strategies EMNLP 2024

Learning Planning Domains from Non-redundant Fully-Observed Traces: Theoretical Foundations and Complexity Analysis AAAI 2024

Tree of Problems: Improving structured problem solving with compositionality EMNLP 2024

From Retrieval to Generation: A Simple and Unified Generative Model for End-to-End Task-Oriented Dialogue AAAI 2024

Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization AAAI 2024

VISREAS: Complex Visual Reasoning with Unanswerable Questions ACL 2024

Training-Free Quantum Architecture Search AAAI 2024

Hypothesis, Verification, and Induction: Grounding Large Language Models with Self-Driven Skill Learning AAAI 2024

Transition Constrained Bayesian Optimization via Markov Decision Processes NIPS 2024

Symbolic Numeric Planning with Patterns AAAI 2024

Step-by-Step Reasoning to Solve Grid Puzzles: Where do LLMs Falter? EMNLP 2024

CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making NIPS 2024

Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization NIPS 2024

Automatically Learning Hybrid Digital Twins of Dynamical Systems NIPS 2024

Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces AAAI 2024

MO-DDN: A Coarse-to-Fine Attribute-based Exploration Agent for Multi-Object Demand-driven Navigation NIPS 2024

Goal Conditioned Reinforcement Learning for Photo Finishing Tuning NIPS 2024