Vincent Moens

Orcid: 0000-0002-5810-086X

According to our database1, Vincent Moens authored at least 12 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
BenchMARL: Benchmarking Multi-Agent Reinforcement Learning.
CoRR, 2023

RoboHive: A Unified Framework for Robot Learning.
CoRR, 2023

TorchRL: A data-driven decision-making library for PyTorch.
CoRR, 2023

RoboHive: A Unified Framework for Robot Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
SAMBA: safe model-based & active reinforcement learning.
Mach. Learn., 2022

CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation Learning.
CoRR, 2022

2021
Implicit Variational Conditional Sampling with Normalizing Flows.
CoRR, 2021

Efficient Semi-Implicit Variational Inference.
CoRR, 2021

Learning Correlated Communication Topology in Multi-Agent Reinforcement learning.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020
¶ILCRO: Making Importance Landscapes Flat Again.
CoRR, 2020

2019
Learning and forgetting using reinforced Bayesian change detection.
PLoS Comput. Biol., 2019

2018
The Hierarchical Adaptive Forgetting Variational Filter.
Proceedings of the 35th International Conference on Machine Learning, 2018


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