Risto Vuorio

According to our database1, Risto Vuorio authored at least 17 papers between 2018 and 2024.

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

2024
A Bayesian Solution To The Imitation Gap.
CoRR, 2024

SplAgger: Split Aggregation for Meta-Reinforcement Learning.
RLJ, 2024

Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
A Survey of Meta-Reinforcement Learning.
CoRR, 2023

Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Recurrent Hypernetworks are Surprisingly Strong in Meta-RL.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Deconfounded Imitation Learning.
CoRR, 2022

An Investigation of the Bias-Variance Tradeoff in Meta-Gradients.
CoRR, 2022

Hypernetworks in Meta-Reinforcement Learning.
Proceedings of the Conference on Robot Learning, 2022

Adaptive Pairwise Weights for Temporal Credit Assignment.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
On the Practical Consistency of Meta-Reinforcement Learning Algorithms.
CoRR, 2021

Pairwise Weights for Temporal Credit Assignment.
CoRR, 2021

Learning State Representations from Random Deep Action-conditional Predictions.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Deep Reinforcement Learning for Multi-driver Vehicle Dispatching and Repositioning Problem.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018
Toward Multimodal Model-Agnostic Meta-Learning.
CoRR, 2018

Meta Continual Learning.
CoRR, 2018


  Loading...