Leslie Kaelbling
18 papers · 2007–2024 · 6 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (33) 🏃 Academic Marathon · Full 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🔬
Deep Specialist
(10)
🤝
Dynamic Duo
(13)
🧬
Topic Evolution
🧭
Keyword Pioneer
🌈
Renaissance Researcher
(5)
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
🗃️
Keyword Collector
(84)
Top co-authors
Research topics
Machine Learning
(12)
Artificial Intelligence
(11)
Core AI
(11)
Reinforcement Learning
(6)
Robotics
(6)
Capabilities
(6)
Applications
(5)
Learning Paradigms · Artificial Intelligence
(5)
Learning Types
(5)
Core Methods
(4)
Optimization & Theory
(4)
Deep Learning
(2)
Mathematics & Optimization
(2)
Architectures
(2)
Learning Paradigms · Machine Learning
(2)
Keywords
task and motion planning
(4)
program synthesis
(3)
neural network
(3)
motion planning
(3)
generalized planning
(2)
constraint satisfaction
(2)
plan feasibility
(2)
policy search
(2)
state abstraction
(2)
robot navigation
(1)
model-based learning
(1)
self-supervised learning
(1)
policy learning
(1)
few-shot learning
(1)
function approximation
(1)
markov decision process
(1)
hierarchical planning
(1)
robot learning
(1)
heuristic search
(1)
black-box optimization
(1)
Papers
Generalized Planning in PDDL Domains with Pretrained Large Language Models
AAAI 2024
Predicate Invention for Bilevel Planning
AAAI 2023
Sequence-Based Plan Feasibility Prediction for Efficient Task and Motion Planning
RSS 2023
Discovering State and Action Abstractions for Generalized Task and Motion Planning
AAAI 2022
PG3: Policy-Guided Planning for Generalized Policy Generation
IJCAI 2022
Active Learning of Abstract Plan Feasibility
RSS 2021
A large-scale benchmark for few-shot program induction and synthesis
ICML 2021
CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs
CoRL 2020
Elimination of All Bad Local Minima in Deep Learning
AISTATS 2020
Monte Carlo Tree Search in Continuous Spaces Using Voronoi Optimistic Optimization with Regret Bounds
AAAI 2020
Differentiable Algorithm Networks for Composable Robot Learning
RSS 2019
Graph Element Networks: adaptive, structured computation and memory
ICML 2019
Selecting Representative Examples for Program Synthesis
ICML 2018
Provably Safe Robot Navigation with Obstacle Uncertainty
RSS 2017
Sample-Based Methods for Factored Task and Motion Planning
RSS 2017
Policy Search for Multi-Robot Coordination under Uncertainty
RSS 2015
Symbol Acquisition for Probabilistic High-Level Planning
IJCAI 2015
Predicting Partial Paths from Planning Problem Parameters
RSS 2007