Vitaly Kurin

According to our database1, Vitaly Kurin authored at least 19 papers between 2017 and 2022.

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

2022
A minimalist approach to deep multi-task learning.
PhD thesis, 2022

You May Not Need Ratio Clipping in PPO.
CoRR, 2022

In Defense of the Unitary Scalarization for Deep Multi-Task Learning.
CoRR, 2022

In Defense of the Unitary Scalarization for Deep Multi-Task Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022


2021
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021


Snowflake: Scaling GNNs to high-dimensional continuous control via parameter freezing.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Can Q-Learning with Graph Networks Learn a Generalizable Branching Heuristic for a SAT Solver?
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Deep Coordination Graphs.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Improving SAT Solver Heuristics with Graph Networks and Reinforcement Learning.
CoRR, 2019

Fast Efficient Hyperparameter Tuning for Policy Gradients.
CoRR, 2019

Fast Efficient Hyperparameter Tuning for Policy Gradient Methods.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning From Demonstration in the Wild.
Proceedings of the International Conference on Robotics and Automation, 2019

Fast Context Adaptation via Meta-Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
CAML: Fast Context Adaptation via Meta-Learning.
CoRR, 2018

2017
The Atari Grand Challenge Dataset.
CoRR, 2017

Towards a Principled Integration of Multi-camera Re-identification and Tracking Through Optimal Bayes Filters.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017


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