Alexandre Galashov

According to our database1, Alexandre Galashov authored at least 19 papers between 2019 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Kalman Filter for Online Classification of Non-Stationary Data.
CoRR, 2023

Towards Compute-Optimal Transfer Learning.
CoRR, 2023

Continually learning representations at scale.
Proceedings of the Conference on Lifelong Learning Agents, 2023

2022
Behavior Priors for Efficient Reinforcement Learning.
J. Mach. Learn. Res., 2022

NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research.
CoRR, 2022

Data augmentation for efficient learning from parametric experts.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Game Plan: What AI can do for Football, and What Football can do for AI.
J. Artif. Intell. Res., 2021

Information theoretic meta learning with Gaussian processes.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2020
Learning Dexterous Manipulation from Suboptimal Experts.
CoRR, 2020

Temporal Difference Uncertainties as a Signal for Exploration.
CoRR, 2020

Importance Weighted Policy Learning and Adaption.
CoRR, 2020

Information Theoretic Meta Learning with Gaussian Processes.
CoRR, 2020

Learning Dexterous Manipulation from Suboptimal Experts.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
Task Agnostic Continual Learning via Meta Learning.
CoRR, 2019

Meta reinforcement learning as task inference.
CoRR, 2019

Meta-Learning surrogate models for sequential decision making.
CoRR, 2019

Exploiting Hierarchy for Learning and Transfer in KL-regularized RL.
CoRR, 2019

Neural Probabilistic Motor Primitives for Humanoid Control.
Proceedings of the 7th International Conference on Learning Representations, 2019

Information asymmetry in KL-regularized RL.
Proceedings of the 7th International Conference on Learning Representations, 2019


  Loading...