Co-occurring keywords · papers mentioning both
Papers
Breadth-First Search vs. Restarting Random Walks for Escaping Uninformed Heuristic Regions
AAAI 2026
Hypertension and Total-Order Forward Decomposition Optimizations (Abstract Reprint)
AAAI 2026
Planning with Formal Reachability Guarantees in Goal-Oriented MDPs with Dead-Ends
UAI 2026
Monte Carlo Planning with Large Language Model for Text-Based Game Agents
ICLR 2025
PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving
EMNLP 2025
Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining
ICLR 2025
CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making
NeurIPS 2024
Reinforcement Learning with Lookahead Information
NeurIPS 2024
RLOP: A Framework for Reinforcement Learning, Optimization and Planning Algorithms
IJCAI 2024
Symbolic Numeric Planning with Patterns
AAAI 2024
Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching
CoRL 2023
Hybrid Search for Efficient Planning with Completeness Guarantees
NeurIPS 2023
Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning
ICLR 2023
Optimize Planning Heuristics to Rank, not to Estimate Cost-to-Goal
NeurIPS 2023
Planning and Learning for Reliable Autonomy in the Open World
AAAI 2023
Planning with Large Language Models for Code Generation
ICLR 2023
Probabilistic Programs as an Action Description Language
AAAI 2023
Reasoning with Language Model is Planning with World Model
EMNLP 2023
Spending Thinking Time Wisely: Accelerating MCTS with Virtual Expansions
NeurIPS 2022
TensorPlan and the Few Actions Lower Bound for Planning in MDPs under Linear Realizability of Optimal Value Functions
ALT 2022
Choosing the Initial State for Online Replanning
AAAI 2021
Learning Generalized Relational Heuristic Networks for Model-Agnostic Planning
AAAI 2021
On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning
AISTATS 2021
AI-Toolbox: A C++ library for Reinforcement Learning and Planning (with Python Bindings)
JMLR 2020
Computing Superior Counter-Examples for Conformant Planning
AAAI 2020