Competition and Coordination in Stochastic Games. - Andriy Burkov; Abdeslam Boularias; Brahim Chaib-draa (Canadian AI, 2007)

Exact Dynamic Programming for Decentralized POMDPs with Lossless Policy Compression. - Abdeslam Boularias; Brahim Chaib-draa (ICAPS, 2008)

State Space Compression with Predictive Representations. - Abdeslam Boularias; Masoumeh T. Izadi; Brahim Chaib-draa (FLAIRS, 2008)

A Predictive Model for Imitation Learning in Partially Observable Environments. - Abdeslam Boularias (ICMLA, 2008)

Prediction-Directed Compression of POMDPs. - Abdeslam Boularias; Masoumeh T. Izadi; Brahim Chaib-draa (ICMLA, 2008)

Predictive representations for policy gradient in POMDPs. - Abdeslam Boularias; Brahim Chaib-draa (ICML, 2009)

Apprenticeship learning via soft local homomorphisms. - Abdeslam Boularias; Brahim Chaib-draa (ICRA, 2010)

Bootstrapping Apprenticeship Learning. - Abdeslam Boularias; Brahim Chaib-draa (NIPS, 2010)

Balancing Safety and Exploitability in Opponent Modeling. - Zhikun Wang; Abdeslam Boularias; Katharina Mülling; Jan Peters 001 (AAAI, 2011)

Modeling Opponent Actions for Table-Tennis Playing Robot. - Zhikun Wang; Abdeslam Boularias; Katharina Mülling; Jan Peters 001 (AAAI, 2011)

Learning robot grasping from 3-D images with Markov Random Fields. - Abdeslam Boularias; Oliver Kroemer; Jan Peters 001 (IROS, 2011)

Relative Entropy Inverse Reinforcement Learning. - Abdeslam Boularias; Jens Kober; Jan Peters 001 (AISTATS, 2011)

Algorithms for Learning Markov Field Policies. - Abdeslam Boularias; Oliver Kroemer; Jan Peters 001 (NIPS, 2012)

Gradient Weights help Nonparametric Regressors. - Samory Kpotufe; Abdeslam Boularias (NIPS, 2012)

Structured Apprenticeship Learning. - Abdeslam Boularias; Oliver Krömer; Jan Peters 001 (ECML/PKDD (2), 2012)

Hilbert Space Embeddings of POMDPs. - Yu Nishiyama; Abdeslam Boularias; Arthur Gretton; Kenji Fukumizu (UAI, 2012)

Apprenticeship learning with few examples. - Abdeslam Boularias; Brahim Chaib-draa (Neurocomputing, 2013)

Efficient Optimization for Autonomous Robotic Manipulation of Natural Objects. - Abdeslam Boularias; James Andrew Bagnell; Anthony Stentz (AAAI, 2014)

Learning strategies in table tennis using inverse reinforcement learning. - Katharina Mülling; Abdeslam Boularias; Betty J. Mohler; Bernhard Schölkopf; Jan Peters 001 (Biol. Cybern., 2014)

Cost-Sensitive Active Learning With Lookahead: Optimizing Field Surveys for Remote Sensing Data Classification. - Claudio Persello; Abdeslam Boularias; Michele Dalponte; Terje Gobakken; Erik Næsset; Bernhard Schölkopf (IEEE Trans. Geosci. Remote. Sens., 2014)

Learning to Manipulate Unknown Objects in Clutter by Reinforcement. - Abdeslam Boularias; James Andrew Bagnell; Anthony Stentz (AAAI, 2015)

Toward Mobile Robots Reasoning Like Humans. - Jean H. Oh; Arne Suppé; Felix Duvallet; Abdeslam Boularias; Luis E. Navarro-Serment; Martial Hebert; Anthony Stentz; Jerry Vinokurov; Oscar J. Romero; Christian Lebiere; Robert M. Dean (AAAI, 2015)

Grounding spatial relations for outdoor robot navigation. - Abdeslam Boularias; Felix Duvallet; Jean Oh; Anthony Stentz (ICRA, 2015)

Learning Qualitative Spatial Relations for Robotic Navigation. - Abdeslam Boularias; Felix Duvallet; Jean Oh; Anthony Stentz (IJCAI, 2016)

Integrated Intelligence for Human-Robot Teams. - Jean Oh; Thomas M. Howard; Matthew R. Walter; Daniel Barber; Menglong Zhu; Sangdon Park 001; Arne Suppé; Luis E. Navarro-Serment; Felix Duvallet; Abdeslam Boularias; Oscar J. Romero; Jerry Vinokurov; et al. (ISER, 2016)

Gradients Weights improve Regression and Classification. - Samory Kpotufe; Abdeslam Boularias; Thomas Schultz 001; Kyoungok Kim (J. Mach. Learn. Res., 2016)

A self-supervised learning system for object detection using physics simulation and multi-view pose estimation. - Chaitanya Mitash; Kostas E. Bekris; Abdeslam Boularias (IROS, 2017)

Anticipatory action selection for human-robot table tennis. - Zhikun Wang; Abdeslam Boularias; Katharina Mülling; Bernhard Schölkopf; Jan Peters 001 (Artif. Intell., 2017)

Information-theoretic Model Identification and Policy Search using Physics Engines with Application to Robotic Manipulation. - Shaojun Zhu; Andrew Kimmel; Abdeslam Boularias (CoRR, 2017)

Model Identification via Physics Engines for Improved Policy Search. - Shaojun Zhu; Andrew Kimmel; Kostas E. Bekris; Abdeslam Boularias (CoRR, 2017)

Information-Efficient Model Identification for Tensegrity Robot Locomotion. - Shaojun Zhu; David Allen Surovik; Kostas E. Bekris; Abdeslam Boularias (AAAI Spring Symposia, 2018)

Robust 6D Object Pose Estimation with Stochastic Congruent Sets. - Chaitanya Mitash; Abdeslam Boularias; Kostas E. Bekris (BMVC, 2018)

Improving 6D Pose Estimation of Objects in Clutter Via Physics-Aware Monte Carlo Tree Search. - Chaitanya Mitash; Abdeslam Boularias; Kostas E. Bekris (ICRA, 2018)

Fast Model Identification via Physics Engines for Data-Efficient Policy Search. - Shaojun Zhu; Andrew Kimmel; Kostas E. Bekris; Abdeslam Boularias (IJCAI, 2018)

Efficient Model Identification for Tensegrity Locomotion. - Shaojun Zhu; David Allen Surovik; Kostas E. Bekris; Abdeslam Boularias (IROS, 2018)

Task-Relevant Object Discovery and Categorization for Playing First-person Shooter Games. - Junchi Liang; Abdeslam Boularias (CoRR, 2018)

Scene-level Pose Estimation for Multiple Instances of Densely Packed Objects. - Chaitanya Mitash; Bowen Wen; Kostas E. Bekris; Abdeslam Boularias (CoRL, 2019)

Learning Object Localization and 6D Pose Estimation from Simulation and Weakly Labeled Real Images. - Jean-Philippe Mercier; Chaitanya Mitash; Philippe Giguère; Abdeslam Boularias (ICRA, 2019)

Towards Robust Product Packing with a Minimalistic End-Effector. - Rahul Shome; Wei N. Tang; Changkyu Song; Chaitanya Mitash; Hristiyan Kourtev; Jingjin Yu; Abdeslam Boularias; Kostas E. Bekris (ICRA, 2019)

Object Rearrangement with Nested Nonprehensile Manipulation Actions. - Changkyu Song; Abdeslam Boularias (IROS, 2019)

Belief-Space Planning Using Learned Models with Application to Underactuated Hands. - Andrew Kimmel; Avishai Sintov; Juntao Tan; Bowen Wen; Abdeslam Boularias; Kostas E. Bekris (ISRR, 2019)

Learning a State Transition Model of an Underactuated Adaptive Hand. - Avishai Sintov; Andrew S. Morgan; Andrew Kimmel; Aaron M. Dollar; Kostas E. Bekris; Abdeslam Boularias (IEEE Robotics Autom. Lett., 2019)

Inferring 3D Shapes of Unknown Rigid Objects in Clutter Through Inverse Physics Reasoning. - Changkyu Song; Abdeslam Boularias (IEEE Robotics Autom. Lett., 2019)

Learning to Transfer Dynamic Models of Underactuated Soft Robotic Hands. - Liam Schramm; Avishai Sintov; Abdeslam Boularias (ICRA, 2020)

Motion Planning with Competency-Aware Transition Models for Underactuated Adaptive Hands. - Avishai Sintov; Andrew Kimmel; Kostas E. Bekris; Abdeslam Boularias (ICRA, 2020)

Learning Transition Models with Time-delayed Causal Relations. - Junchi Liang; Abdeslam Boularias (IROS, 2020)

A Probabilistic Model for Planar Sliding of Objects with Unknown Material Properties: Identification and Robust Planning. - Changkyu Song; Abdeslam Boularias (IROS, 2020)

Tools for Data-driven Modeling of Within-Hand Manipulation with Underactuated Adaptive Hands. - Avishai Sintov; Andrew Kimmel; Bowen Wen; Abdeslam Boularias; Kostas E. Bekris (L4DC, 2020)

Identifying Mechanical Models of Unknown Objects with Differentiable Physics Simulations. - Changkyu Song; Abdeslam Boularias (L4DC, 2020)

Learning to Slide Unknown Objects with Differentiable Physics Simulations. - Changkyu Song; Abdeslam Boularias (Robotics: Science and Systems, 2020)

Identifying Mechanical Models through Differentiable Simulations. - Changkyu Song; Abdeslam Boularias (CoRR, 2020)

Model Identification and Control of a Low-Cost Wheeled Mobile Robot Using Differentiable Physics. - Yanshi Luo; Abdeslam Boularias; Mridul Aanjaneya (CoRR, 2020)

Task-Driven Perception and Manipulation for Constrained Placement of Unknown Objects. - Chaitanya Mitash; Rahul Shome; Bowen Wen; Abdeslam Boularias; Kostas E. Bekris (IEEE Robotics Autom. Lett., 2020)

Toward Fully Automated Metal Recycling using Computer Vision and Non-Prehensile Manipulation. - Shuai D. Han; Baichuan Huang; Sijie Ding; Changkyu Song; Si Wei Feng; Ming Xu; Hao Lin; Qingze Zou; Abdeslam Boularias; Jingjin Yu (CASE, 2021)

DIPN: Deep Interaction Prediction Network with Application to Clutter Removal. - Baichuan Huang; Shuai D. Han; Abdeslam Boularias; Jingjin Yu (ICRA, 2021)

A Self-supervised Learning System for Object Detection in Videos Using Random Walks on Graphs. - Juntao Tan; Changkyu Song; Abdeslam Boularias (ICRA, 2021)

Inferring Time-delayed Causal Relations in POMDPs from the Principle of Independence of Cause and Mechanism. - Junchi Liang; Abdeslam Boularias (IJCAI, 2021)

Self-Supervised Learning of Long-Horizon Manipulation Tasks with Finite-State Task Machines. - Junchi Liang; Abdeslam Boularias (L4DC, 2021)

Vision-driven Compliant Manipulation for Reliable; High-Precision Assembly Tasks. - Andrew S. Morgan; Bowen Wen; Junchi Liang; Abdeslam Boularias; Aaron M. Dollar; Kostas E. Bekris (Robotics: Science and Systems, 2021)

Visual Foresight Tree for Object Retrieval from Clutter with Nonprehensile Rearrangement. - Baichuan Huang; Shuai D. Han; Jingjin Yu; Abdeslam Boularias (CoRR, 2021)

USHER: Unbiased Sampling for Hindsight Experience Replay. - Liam Schramm; Yunfu Deng; Edgar Granados; Abdeslam Boularias (CoRL, 2022)

Model Identification and Control of a Low-cost Mobile Robot with Omnidirectional Wheels using Differentiable Physics. - Edgar Granados; Abdeslam Boularias; Kostas E. Bekris; Mridul Aanjaneya (ICRA, 2022)

Interleaving Monte Carlo Tree Search and Self-Supervised Learning for Object Retrieval in Clutter. - Baichuan Huang; Teng Guo; Abdeslam Boularias; Jingjin Yu (ICRA, 2022)

Learning Sensorimotor Primitives of Sequential Manipulation Tasks from Visual Demonstrations. - Junchi Liang; Bowen Wen; Kostas E. Bekris; Abdeslam Boularias (ICRA, 2022)

Learning-Guided Exploration for Efficient Sampling-Based Motion Planning in High Dimensions. - Liam Schramm; Abdeslam Boularias (ICRA, 2022)

Scene-level Tracking and Reconstruction without Object Priors. - Haonan Chang; Abdeslam Boularias (IROS, 2022)

Parallel Monte Carlo Tree Search with Batched Rigid-body Simulations for Speeding up Long-Horizon Episodic Robot Planning. - Baichuan Huang; Abdeslam Boularias; Jingjin Yu (IROS, 2022)

Self-Supervised Monte Carlo Tree Search Learning for Object Retrieval in Clutter. - Baichuan Huang; Teng Guo; Abdeslam Boularias; Jingjin Yu (CoRR, 2022)

Physics-based scene-level reasoning for object pose estimation in clutter. - Chaitanya Mitash; Abdeslam Boularias; Kostas E. Bekris (Int. J. Robotics Res., 2022)

Visual Foresight Trees for Object Retrieval From Clutter With Nonprehensile Rearrangement. - Baichuan Huang; Shuai D. Han; Jingjin Yu; Abdeslam Boularias (IEEE Robotics Autom. Lett., 2022)

Context-Aware Entity Grounding with Open-Vocabulary 3D Scene Graphs. - Haonan Chang; Kowndinya Boyalakuntla; Shiyang Lu; Siwei Cai; Eric Pu Jing; Shreesh Keskar; Shijie Geng; Adeeb Abbas; Lifeng Zhou; Kostas E. Bekris; Abdeslam Boularias (CoRL, 2023)

OVIR-3D: Open-Vocabulary 3D Instance Retrieval Without Training on 3D Data. - Shiyang Lu; Haonan Chang; Eric Pu Jing; Abdeslam Boularias; Kostas E. Bekris (CoRL, 2023)

Mono-STAR: Mono-Camera Scene-Level Tracking and Reconstruction. - Haonan Chang; Dhruv Metha Ramesh; Shijie Geng; Yuqiu Gan; Abdeslam Boularias (ICRA, 2023)

Learning Category-Level Manipulation Tasks from Point Clouds with Dynamic Graph CNNs. - Junchi Liang; Abdeslam Boularias (ICRA, 2023)

Self-Supervised Learning of Object Segmentation from Unlabeled RGB-D Videos. - Shiyang Lu; Yunfu Deng; Abdeslam Boularias; Kostas E. Bekris (ICRA, 2023)

Optical Flow Boosts Unsupervised Localization and Segmentation. - Xinyu Zhang; Abdeslam Boularias (IROS, 2023)

Detect Every Thing with Few Examples. - Xinyu Zhang; Yuting Wang; Abdeslam Boularias (CoRR, 2023)

LGMCTS: Language-Guided Monte-Carlo Tree Search for Executable Semantic Object Rearrangement. - Haonan Chang; Kai Gao; Kowndinya Boyalakuntla; Alex Lee; Baichuan Huang; Harish Udhaya Kumar; Jinjin Yu; Abdeslam Boularias (CoRR, 2023)

A3VLM: Actionable Articulation-Aware Vision Language Model. - Siyuan Huang 004; Haonan Chang; Yuhan Liu; Yimeng Zhu; Hao Dong 003; Abdeslam Boularias; Peng Gao 007; Hongsheng Li 001 (CoRL, 2024)

Scaling Manipulation Learning with Visual Kinematic Chain Prediction. - Xinyu Zhang; Yuhan Liu; Haonan Chang; Abdeslam Boularias (CoRL, 2024)

Detect Everything with Few Examples. - Xinyu Zhang; Yuhan Liu; Yuting Wang; Abdeslam Boularias (CoRL, 2024)

Provably Efficient Long-Horizon Exploration in Monte Carlo Tree Search through State Occupancy Regularization. - Liam Schramm; Abdeslam Boularias (ICML, 2024)

Insert-One: One-Shot Robust Visual-Force Servoing for Novel Object Insertion with 6-DoF Tracking. - Haonan Chang; Abdeslam Boularias; Siddarth Jain (IROS, 2024)

DAP: Diffusion-based Affordance Prediction for Multi-modality Storage. - Haonan Chang; Kowndinya Boyalakuntla; Yuhan Liu; Xinyu Zhang; Liam Schramm; Abdeslam Boularias (IROS, 2024)

LGMCTS: Language-Guided Monte-Carlo Tree Search for Executable Semantic Object Rearrangement. - Haonan Chang; Kai Gao; Kowndinya Boyalakuntla; Alex Lee; Baichuan Huang; Jingjin Yu; Abdeslam Boularias (IROS, 2024)

One-Shot Imitation Learning with Invariance Matching for Robotic Manipulation. - Xinyu Zhang; Abdeslam Boularias (Robotics: Science and Systems, 2024)

Bellman Diffusion Models. - Liam Schramm; Abdeslam Boularias (CoRR, 2024)

Motion Blender Gaussian Splatting for Dynamic Reconstruction. - Xinyu Zhang; Haonan Chang; Yuhan Liu; Abdeslam Boularias (CoRR, 2025)

PROBE: Proprioceptive Obstacle Detection and Estimation while Navigating in Clutter. - Dhruv Metha Ramesh; Aravind Sivaramakrishnan; Shreesh Keskar; Kostas E. Bekris; Jingjin Yu; Abdeslam Boularias (CoRR, 2025)

Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies. - Isidoros Marougkas; Dhruv Metha Ramesh; Joe Doerr; Edgar Granados; Aravind Sivaramakrishnan; Abdeslam Boularias; Kostas E. Bekris (CoRR, 2025)

Autoregressive Action Sequence Learning for Robotic Manipulation. - Xinyu Zhang; Yuhan Liu; Haonan Chang; Liam Schramm; Abdeslam Boularias (IEEE Robotics Autom. Lett., 2025)

KARL: Kalman-Filter Assisted Reinforcement Learner for Dynamic Object Tracking and Grasping. - Kowndinya Boyalakuntla; Abdeslam Boularias; Jingjin Yu (CoRR, 2025)

Failure Forecasting Boosts Robustness of Sim2Real Rhythmic Insertion Policies. - Yuhan Liu; Xinyu Zhang; Haonan Chang; Abdeslam Boularias (CoRR, 2025)

Bounding Distributional Shifts in World Modeling through Novelty Detection. - Eric Jing; Abdeslam Boularias (CoRR, 2025)