Featured Software & Tools
Open-source planners and research tools
K* Search Planners
K* search based planners for top-k and top-quality planning tasks. Pip-installable for easy integration.
Forbid-Iterative (FI)
Planner suite for top-k, top-quality, and diverse computational tasks in automated planning.
Diversity Score
Tool for computing diversity scores for sets of plans, enabling quality assessment of diverse planning.
Cerberus Planner
Post-IPC 2018 version of the Cerberus planner, successor to Mercury with advanced red-black heuristics.
AI Planning Service
IBM Research AI Planning Service for integrating automated planning into applications and workflows.
Competition Winners
Award-winning planners from international competitions
🥇 IPC 2018 - Delfi Planner
Winner of the Sequential Optimal Track
Delfi won the cost-optimal track of the International Planning Competition 2018, demonstrating state-of-the-art performance in finding optimal solutions.
🥈 IPC 2014 - Mercury Planner
Runner-Up & Innovative Planner Award
Mercury achieved runner-up in the satisficing track and received the Innovative Planner Award at IPC 2014 for its novel red-black planning approach.
Other IPC 2018 Planners
IPC 2014 Planners
Patents
25+ granted and published patents
Granted Patents
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Estimating and visualizing collaboration to facilitate automated plan generation
US Patent 11620486 -
Methods and systems for diverse instance generation in artificial intelligence planning
US Patent 11526791 -
Guided plan recognition
US Patent 11755923 -
Iterative generation of top quality plans in automated plan generation
US Patent 11727289 -
Optimizing spatiotemporal computational problems
US Patent 10635982 -
Automatic solution to a scheduling problem
US Patent 10430739 -
Reusable modeling for solving problems
US Patent 10169291
Recent Published Patents
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Partial Order Reduction to Increase Planner Speed
US 20240420020 -
Symmetry Pruning to Increase Planner Speed
US 20240420038 -
Reinforcement Learning Using Lifted Action Models
US 20240370750 -
Generating Artificial Intelligence Plans of High Diversity
US 20230394325 -
Action Space Reduction for Planning Domains
US 20230342653
Research Highlights
Key contributions and innovations
🤖 Thought of Search (ToS)
Novel approach for planning with language models through the lens of efficiency.
📊 ACPBench
Comprehensive benchmark for reasoning about action, change, and planning with language models.
🌈 Diverse Planning
Techniques for generating diverse sets of plans, providing users with meaningful alternatives and flexibility in decision-making.
🎯 Top-Quality Planning
Methods for finding practically useful sets of best plans, enabling better decision-making in planning applications.
🔴⚫ Red-Black Planning
Systematic approach to partial delete relaxation, forming the basis of award-winning planners Mercury and Cerberus.
🔄 Planning & RL
Bridging automated planning and reinforcement learning for autonomous systems and hybrid approaches.
Collaborators
Working with leading researchers worldwide
I have had the privilege of collaborating with outstanding researchers from academia and industry, including colleagues from IBM Research, MIT, Technion, University of Basel, Saarland University, and many other institutions.