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Vivek Veeriah
Vivek Veeriah
Bestätigte E-Mail-Adresse bei umich.edu
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Zitiert von
Zitiert von
Jahr
Differential recurrent neural networks for action recognition
V Veeriah, N Zhuang, GJ Qi
Proceedings of the IEEE international conference on computer vision, 4041-4049, 2015
4852015
Discovery of useful questions as auxiliary tasks
V Veeriah, M Hessel, Z Xu, J Rajendran, RL Lewis, J Oh, HP van Hasselt, ...
Advances in Neural Information Processing Systems 32, 2019
652019
Many-goals reinforcement learning
V Veeriah, J Oh, S Singh
arXiv preprint arXiv:1806.09605, 2018
382018
A self-tuning actor-critic algorithm
T Zahavy, Z Xu, V Veeriah, M Hessel, J Oh, HP van Hasselt, D Silver, ...
Advances in Neural Information Processing Systems 33, 20913-20924, 2020
342020
Robust hand gesture recognition algorithm for simple mouse control
V Veeriah, PL Swaminathan
International Journal of Computer and Communication Engineering 2 (2), 219, 2013
242013
Face valuing: Training user interfaces with facial expressions and reinforcement learning
V Veeriah, PM Pilarski, RS Sutton
arXiv preprint arXiv:1606.02807, 2016
232016
Deep Learning Architecture with Dynamically Programmed Layers for Brain Connectome Prediction
V Veeriah J, R Durvasula, GJ Qi
ACM KDD 2015, 2015
192015
Discovery of options via meta-learned subgoals
V Veeriah, T Zahavy, M Hessel, Z Xu, J Oh, I Kemaev, HP van Hasselt, ...
Advances in Neural Information Processing Systems 34, 29861-29873, 2021
142021
Self-tuning deep reinforcement learning
T Zahavy, Z Xu, V Veeriah, M Hessel, J Oh, H van Hasselt, D Silver, ...
arXiv preprint arXiv:2002.12928, 2020
132020
Tidbd: Adapting temporal-difference step-sizes through stochastic meta-descent
A Kearney, V Veeriah, JB Travnik, RS Sutton, PM Pilarski
arXiv preprint arXiv:1804.03334, 2018
132018
Learning feature relevance through step size adaptation in temporal-difference learning
A Kearney, V Veeriah, J Travnik, PM Pilarski, RS Sutton
arXiv preprint arXiv:1903.03252, 2019
92019
Forward actor-critic for nonlinear function approximation in reinforcement learning
V Veeriah, H van Seijen, RS Sutton
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent …, 2017
92017
How Should an Agent Practice?
J Rajendran, R Lewis, V Veeriah, H Lee, S Singh
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5454-5461, 2020
72020
Crossprop: Learning representations by stochastic meta-gradient descent in neural networks
V Veeriah, S Zhang, RS Sutton
Joint european conference on machine learning and knowledge discovery in …, 2017
72017
Learning State Representations from Random Deep Action-conditional Predictions
Z Zheng, V Veeriah, R Vuorio, RL Lewis, S Singh
Advances in Neural Information Processing Systems 34, 23679-23691, 2021
12021
Learning representations by stochastic meta-gradient descent in neural networks
V Veeriah, S Zhang, RS Sutton
arXiv preprint arXiv:1612.02879, 2016
12016
GrASP: Gradient-Based Affordance Selection for Planning
V Veeriah, Z Zheng, R Lewis, S Singh
arXiv preprint arXiv:2202.04772, 2022
2022
Discovery in Reinforcement Learning
V Veeriah
2022
Beyond Clever Hans: Learning From People Without Their Really Trying
J Veeraiah, V Veeriah
2018
Crossprop: Learning representations through stochastic gradient descent in cross-validation error
RS Sutton, V Veeriah
arXiv preprint arXiv:1612.02879, 2016
2016
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