Matthieu Geist - Citegraph

Author Info

Name	Affiliation	Papers
MATTHIEU GEIST	Supélec, IMS Research Group, Metz, France and MCE Department, ArcelorMittal Research, Maizières-lès-Metz, France	98
Collaborators	Citations	PageRank
172	385	44.31
Referers	Referees	References
686	768	796

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100768

Publications (98 rows)

Collaborators (100 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Lazy-MDPs: Towards Interpretable RL by Learning When to Act.	0	0.34	2022
Continuous Control with Action Quantization from Demonstrations.	0	0.34	2022
A general class of surrogate functions for stable and efficient reinforcement learning	0	0.34	2022
Generalization in Mean Field Games by Learning Master Policies.	0	0.34	2022
Implicitly Regularized RL with Implicit Q-values	0	0.34	2022
Scaling Mean Field Games by Online Mirror Descent.	0	0.34	2022
Offline Reinforcement Learning as Anti-exploration.	0	0.34	2022
Concave Utility Reinforcement Learning: The Mean-field Game Viewpoint.	0	0.34	2022
Scalable Deep Reinforcement Learning Algorithms for Mean Field Games.	0	0.34	2022
Offline Reinforcement Learning With Pseudometric Learning	0	0.34	2021
Show me the Way: Intrinsic Motivation from Demonstrations	0	0.34	2021
How To Train Your Heron	0	0.34	2021
Mean Field Games Flock! The Reinforcement Learning Way.	0	0.34	2021
Adversarially Guided Actor-Critic	0	0.34	2021
Self-Imitation Advantage Learning	0	0.34	2021
What Matters for On-Policy Deep Actor-Critic Methods? A Large-Scale Study	0	0.34	2021
Hyperparameter Selection for Imitation Learning	0	0.34	2021
What Matters for Adversarial Imitation Learning?	0	0.34	2021
Primal Wasserstein Imitation Learning	0	0.34	2021
Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications	0	0.34	2020
On The Convergence Of Model Free Learning In Mean Field Games	0	0.34	2020
Self-Attentional Credit Assignment for Transfer in Reinforcement Learning	1	0.36	2020
Foolproof Cooperative Learning.	0	0.34	2020
Image-Based Place Recognition on Bucolic Environment Across Seasons From Semantic Edge Description.	0	0.34	2020
CopyCAT:: Taking Control of Neural Policies with Constant Attacks	0	0.34	2020
Leverage the Average: an Analysis of KL Regularization in Reinforcement Learning	0	0.34	2020
Munchausen Reinforcement Learning	0	0.34	2020
Deep Conservative Policy Iteration	0	0.34	2019
Stable and Efficient Policy Evaluation.	1	0.41	2019
Targeted Attacks on Deep Reinforcement Learning Agents through Adversarial Observations.	0	0.34	2019
A Theory of Regularized Markov Decision Processes.	0	0.34	2019
Learning from a Learner	0	0.34	2019
Image-Based Text Classification using 2D Convolutional Neural Networks	0	0.34	2019
Foolproof Cooperative Learning.	0	0.34	2019
Importance Sampling for Deep System Identification	0	0.34	2019
A Deep Learning Approach For Privacy Preservation In Assisted Living	1	0.35	2018
Human Activity Recognition Using Recurrent Neural Networks.	10	0.62	2018
Image-based Natural Language Understanding Using 2D Convolutional Neural Networks.	0	0.34	2018
Anderson Acceleration for Reinforcement Learning.	0	0.34	2018
Deep Representation Learning for Domain Adaptation of Semantic Image Segmentation.	0	0.34	2018
Reconstruct & Crush Network.	0	0.34	2017
Is the Bellman residual a bad proxy?	0	0.34	2017
Bridging the Gap Between Imitation Learning and Inverse Reinforcement Learning.	7	0.51	2017
Should one minimize the expected Bellman residual or maximize the mean value?	0	0.34	2016
Difference of Convex Functions Programming Applied to Control with Expert Data.	0	0.34	2016
Score-based Inverse Reinforcement Learning.	0	0.34	2016
Softened Approximate Policy Iteration for Markov Games.	4	0.42	2016
Imitation Learning Applied to Embodied Conversational Agents	2	0.38	2015
Soft-max boosting	0	0.34	2015
Inverse reinforcement learning in relational domains	4	0.41	2015

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