hellomuthu23/planning-poker
Free Planning Poker app for Agile/Scrum teams to use (⭐ 311)
Neighborhood planning - Wikipedia
Neighborhood planning is a form of urban planning through which professional urban planners and communities seek to shape new and existing neighborhoods
Scenario planning - Wikipedia
Scenario planning, scenario thinking, scenario analysis, scenario prediction and the scenario method all describe a strategic planning method that some
Strategic planning - Wikipedia
Strategic planning or corporate planning is an activity undertaken by an organization through which it seeks to define its future direction and makes
Encoding Compositionality in Classical Planning Solutions
Classical AI planners provide solutions to planning problems in the form of long and opaque text outputs. To aid in the understanding transferability of planning solutions, it is necessary to have a rich and comprehensible representation for both hum...
Planning fallacy - Wikipedia
The planning fallacy involves estimates of task completion times more optimistic than those encountered in similar projects in the past. The planning fallacy
A Planning Ontology to Represent and Exploit Planning Knowledge for Performance Efficiency
Ontologies are known for their ability to organize rich metadata, support the identification of novel insights via semantic queries, and promote reuse. In this paper, we consider the problem of automated planning, where the objective is to find a seq...
Planning poker - Wikipedia
book Agile Estimating and Planning, whose company trade marked the term and a digital online tool. The reason to use planning poker is to avoid the influence
Predicted Composite Signed-Distance Fields for Real-Time Motion Planning in Dynamic Enviro…
We present a novel framework for motion planning in dynamic environments that accounts for the predicted trajectories of moving objects in the scene. We explore the use of composite signed-distance fields in motion planning and detail how they can be...
OthmanAdi/planning-with-files
Claude Code skill implementing Manus-style persistent markdown planning — the workflow pattern behind the $2B acquisition. (⭐ 15498)
Wedding planning has potentially ended my 33f relationship with fiancé 35m
I (33f) am planning my wedding and my fiancé (35m) has wanted little to nothing to do with planning. We’ve been together for close to 8 years and this is his MO to default work to me. Things requir...
A Two Stage Stochastic Optimization Model for Port Infrastructure Planning
This paper investigates inland port infrastructure investment planning under uncertain commodity demand conditions. A two-stage stochastic optimization is developed to model the impact of demand uncertainty on infrastructure planning and transportati...
pablovegan/Economic-Planning
Receding horizon planning as in Loke and Zachariah's https://github.com/lokehagberg/rhp (⭐ 7)
Pick and Place Planning is Better than Pick Planning then Place Planning
Robotic pick and place stands at the heart of autonomous manipulation. When conducted in cluttered or complex environments robots must jointly reason about the selected grasp and desired placement locations to ensure success. While several works have...
Iterative Depth-First Search for Fully Observable Non-Deterministic Planning
Fully Observable Non-Deterministic (FOND) planning models uncertainty through actions with non-deterministic effects. Existing FOND planning algorithms are effective and employ a wide range of techniques. However, most of the existing algorithms are...
FOND Planning for LTLf and PLTLf Goals
In this report, we will define a new approach to the problem of non deterministic planning for extended temporal goals. In particular, we will give a solution to this problem reducing it to a fully observable non deterministic (FOND) planning problem...
The Role of Macros in Tractable Planning
This paper presents several new tractability results for planning based on macros. We describe an algorithm that optimally solves planning problems in a class that we call inverted tree reducible, and is provably tractable for several subclasses of t...
Efficient Black-Box Planning Using Macro-Actions with Focused Effects
The difficulty of deterministic planning increases exponentially with search-tree depth. Black-box planning presents an even greater challenge, since planners must operate without an explicit model of the domain. Heuristics can make search more effic...
Joint Path and Push Planning Among Movable Obstacles
This paper explores the Navigation Among Movable Obstacles (NAMO) problem and proposes joint path and push planning: which path to take and in what direction the obstacles should be pushed at, given a start and goal position. We present a planning al...
Coalition-based Planning of Military Operations: Adversarial Reasoning Algorithms in an In…
Use of knowledge-based planning tools can help alleviate the challenges of planning a complex operation by a coalition of diverse parties in an adversarial environment. We explore these challenges and potential contributions of knowledge-based tools...