Co-occurring keywords · papers mentioning both
Papers
A General Highly Accurate Online Planning Method Integrating Large Language Models into Nested Rollout Policy Adaptation for Dialogue Tasks
AAAI 2026
Online Robust Planning Under Model Uncertainty: A Sample-Based Approach
AAAI 2026
Efficient Multi-Agent Collaboration with Tool Use for Online Planning in Complex Table Question Answering
NAACL 2025
Learning Logic Specifications for Policy Guidance in POMDPs: an Inductive Logic Programming Approach
AAAI 2025
Online Planning in MDPs with Stochastic Durative Actions
IJCAI 2025
Partially Observable Reference Policy Programming
IJCAI 2025
Residual-MPPI: Online Policy Customization for Continuous Control
ICLR 2025
A Surprisingly Simple Continuous-Action POMDP Solver: Lazy Cross-Entropy Search Over Policy Trees
AAAI 2024
Factored Online Planning in Many-Agent POMDPs
AAAI 2024
Optimality Guarantees for Particle Belief Approximation of POMDPs (Abstract Reprint)
IJCAI 2024
A Partially Observable Monte Carlo Planning Algorithm Based on Path Modification
ACML 2023
Information-guided Planning: An Online Approach for Partially Observable Problems
NeurIPS 2023
Online Planning in POMDPs with Self-Improving Simulators
IJCAI 2022
Optimal Pointing Sequences in Spacecraft Formation Flying Using Online Planning with Resource Constraints
L4DC 2022
PDSketch: Integrated Domain Programming, Learning, and Planning
NeurIPS 2022
Adaptive Online Packing-guided Search for POMDPs
NeurIPS 2021
LB-DESPOT: Efficient Online POMDP Planning Considering Lower Bound in Action Selection (Student Abstract)
AAAI 2021
Learning Off-Policy with Online Planning
CoRL 2021
MAGIC: Learning Macro-Actions for Online POMDP Planning
RSS 2021
Scalable Online Planning via Reinforcement Learning Fine-Tuning
NeurIPS 2021
Bayesian Reinforcement Learning via Deep, Sparse Sampling
AISTATS 2020
Dynamic Multi-Robot Task Allocation under Uncertainty and Temporal Constraints
RSS 2020
Exploring Model-based Planning with Policy Networks
ICLR 2020
Influence-Augmented Online Planning for Complex Environments
NeurIPS 2020
Online Planning with Lookahead Policies
NeurIPS 2020