Marc Toussaint
30 papers · 2007–2025 · 9 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+13 more ↓ Show less ↑
π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (11) π£ Hot Topic Early Bird
πΊοΈ
Taxonomy Completionist
(11)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Keyword Trendsetter Combo
(3)
π
Keyword Champion
(3)
π§¬
Topic Evolution
π₯
Mega-Team
(22)
π
Trend Setter
ποΈ
Keyword Collector
(105)
π
Century Club
(30)
β‘
Prolific Year
(5)
π₯
Unstoppable
(6)
π
Conference Pioneer
Conferences
IJCAI (6)
RSS (6)
CORL (5)
NIPS (5)
ICML (4)
AISTATS (1)
ICLR (1)
JMLR (1)
UAI (1)
Top co-authors
Research topics
Keywords
reinforcement learning
(4)
model-based reinforcement learning
(3)
approximate inference
(3)
manipulation planning
(3)
task and motion planning
(3)
optimal control
(3)
motion planning
(2)
variational inference
(2)
robotic manipulation
(2)
sequential manipulation
(2)
robot manipulation
(2)
policy learning
(2)
neural radiance field
(2)
probabilistic modeling
(2)
structured prediction
(1)
bayesian inference
(1)
sample efficiency
(1)
policy optimization
(1)
motion synthesis
(1)
imitation learning
(1)
Papers
Meta-Optimization and Program Search using Language Models for Task and Motion Planning
CORL 2025
Stein Variational Evolution Strategies
UAI 2025
PaLM-E: An Embodied Multimodal Language Model
ICML 2023
Reinforcement Learning with Neural Radiance Fields
NIPS 2022
Learning Multi-Object Dynamics with Compositional Neural Radiance Fields
CORL 2022
Structured deep generative models for sampling on constraint manifolds in sequential manipulation
CORL 2021
Plan-Based Relaxed Reward Shaping for Goal-Directed Tasks
ICLR 2021
Learning Models as Functionals of Signed-Distance Fields for Manipulation Planning
CORL 2021
Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics
NIPS 2021
Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from an Initial Scene Image
RSS 2020
Self-Supervised Learning of Scene-Graph Representations for Robotic Sequential Manipulation Planning
CORL 2020
Trajectory-Based Off-Policy Deep Reinforcement Learning
ICML 2019
Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning - Extended Abtract
IJCAI 2019
Probabilistic Recurrent State-Space Models
ICML 2018
Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning
RSS 2018
Policy Search in Reproducing Kernel Hilbert Space
IJCAI 2016
Combined Optimization and Reinforcement Learning for Manipulation Skills
RSS 2016
Direct Loss Minimization Inverse Optimal Control
RSS 2015
Logic-Geometric Programming: An Optimization-Based Approach to Combined Task and Motion Planning
IJCAI 2015
Model-Based Relational RL When Object Existence is Partially Observable
ICML 2014
Active Learning for Teaching a Robot Grounded Relational Symbols
IJCAI 2013
Path Integral Control by Reproducing Kernel Hilbert Space Embedding
IJCAI 2013
On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference (Extended Abstract)
IJCAI 2013
Hierarchical Motion Planning in Topological Representations
RSS 2012
Exploration in Relational Domains for Model-based Reinforcement Learning
JMLR 2012
On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference
RSS 2012
Message-Passing Algorithms for MAP Estimation Using DC Programming
AISTATS 2012
Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress
NIPS 2012
An Approximate Inference Approach to Temporal Optimization in Optimal Control
NIPS 2010
Modelling motion primitives and their timing in biologically executed movements
NIPS 2007