Abdeslam Boularias
23 papers · 2010–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (12) π£ Hot Topic Early Bird
πΊοΈ
Taxonomy Completionist
(12)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Keyword Champion
ποΈ
Keyword Collector
(102)
π
Conference Pioneer
π
Trend Setter
π
Century Club
(23)
π₯
Unstoppable
(8)
β‘
Prolific Year
(5)
Conferences
CORL (8)
IJCAI (3)
L4DC (3)
NIPS (3)
RSS (3)
AISTATS (1)
ICML (1)
JMLR (1)
Top co-authors
Research topics
Keywords
model-based reinforcement learning
(3)
imitation learning
(3)
policy learning
(3)
policy search
(2)
differentiable physics
(2)
inverse reinforcement learning
(2)
kernel regression
(2)
apprenticeship learning
(2)
friction coefficient
(2)
gradient weighting
(2)
robotic manipulation
(2)
multi-view fusion
(1)
object detection
(1)
self-supervised learning
(1)
causal discovery
(1)
online learning
(1)
reinforcement learning
(1)
scene understanding
(1)
adversarial training
(1)
pose estimation
(1)
Papers
Motion Blender Gaussian Splatting for Dynamic Reconstruction
CORL 2025
Provably Efficient Long-Horizon Exploration in Monte Carlo Tree Search through State Occupancy Regularization
ICML 2024
One-Shot Imitation Learning with Invariance Matching for Robotic Manipulation
RSS 2024
Detect Everything with Few Examples
CORL 2024
A3VLM: Actionable Articulation-Aware Vision Language Model
CORL 2024
Scaling Manipulation Learning with Visual Kinematic Chain Prediction
CORL 2024
Context-Aware Entity Grounding with Open-Vocabulary 3D Scene Graphs
CORL 2023
OVIR-3D: Open-Vocabulary 3D Instance Retrieval Without Training on 3D Data
CORL 2023
USHER: Unbiased Sampling for Hindsight Experience Replay
CORL 2022
Vision-driven Compliant Manipulation for Reliable; High-Precision Assembly Tasks
RSS 2021
Inferring Time-delayed Causal Relations in POMDPs from the Principle of Independence of Cause and Mechanism
IJCAI 2021
Self-Supervised Learning of Long-Horizon Manipulation Tasks with Finite-State Task Machines
L4DC 2021
Learning to Slide Unknown Objects with Differentiable Physics Simulations
RSS 2020
Identifying Mechanical Models of Unknown Objects with Differentiable Physics Simulations
L4DC 2020
Tools for Data-driven Modeling of Within-Hand Manipulation with Underactuated Adaptive Hands
L4DC 2020
Scene-level Pose Estimation for Multiple Instances of Densely Packed Objects
CORL 2019
Fast Model Identification via Physics Engines for Data-Efficient Policy Search
IJCAI 2018
Gradients Weights improve Regression and Classification
JMLR 2016
Learning Qualitative Spatial Relations for Robotic Navigation
IJCAI 2016
Algorithms for Learning Markov Field Policies
NIPS 2012
Gradient Weights help Nonparametric Regressors
NIPS 2012
Relative Entropy Inverse Reinforcement Learning
AISTATS 2011
Bootstrapping Apprenticeship Learning
NIPS 2010