Vivek Veeriah

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 23

Top Topics

Reinforcement Learning

Feature Relevance

Function Approximation

Top Venues

Publications

Ted Moskovitz, Brendan O'Donoghue, Vivek Veeriah, Sebastian Flennerhag, Satinder Singh, Tom Zahavy
ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs. ICML (2023)
Tom Zahavy, Vivek Veeriah, Shaobo Hou, Kevin Waugh, Matthew Lai, Edouard Leurent, Nenad Tomasev, Lisa Schut, Demis Hassabis, Satinder Singh
Diversifying AI: Towards Creative Chess with AlphaZero. CoRR (2023)
Ted Moskovitz, Brendan O'Donoghue, Vivek Veeriah, Sebastian Flennerhag, Satinder Singh, Tom Zahavy
ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs. CoRR (2023)
Vivek Veeriah, Zeyu Zheng, Richard L. Lewis, Satinder Singh
GrASP: Gradient-Based Affordance Selection for Planning. CoRR (2022)
Zeyu Zheng, Vivek Veeriah, Risto Vuorio, Richard L. Lewis, Satinder Singh
Learning State Representations from Random Deep Action-conditional Predictions. CoRR (2021)
Vivek Veeriah, Tom Zahavy, Matteo Hessel, Zhongwen Xu, Junhyuk Oh, Iurii Kemaev, Hado van Hasselt, David Silver, Satinder Singh
Discovery of Options via Meta-Learned Subgoals. CoRR (2021)
Zeyu Zheng, Vivek Veeriah, Risto Vuorio, Richard L. Lewis, Satinder Singh
Learning State Representations from Random Deep Action-conditional Predictions. NeurIPS (2021)
Vivek Veeriah, Tom Zahavy, Matteo Hessel, Zhongwen Xu, Junhyuk Oh, Iurii Kemaev, Hado van Hasselt, David Silver, Satinder Singh
Discovery of Options via Meta-Learned Subgoals. NeurIPS (2021)
Shangtong Zhang, Vivek Veeriah, Shimon Whiteson
Learning Retrospective Knowledge with Reverse Reinforcement Learning. CoRR (2020)
Tom Zahavy, Zhongwen Xu, Vivek Veeriah, Matteo Hessel, Junhyuk Oh, Hado van Hasselt, David Silver, Satinder Singh
A Self-Tuning Actor-Critic Algorithm. NeurIPS (2020)
Janarthanan Rajendran, Richard L. Lewis, Vivek Veeriah, Honglak Lee, Satinder Singh
How Should an Agent Practice? AAAI (2020)
Shangtong Zhang, Vivek Veeriah, Shimon Whiteson
Learning Retrospective Knowledge with Reverse Reinforcement Learning. NeurIPS (2020)
Tom Zahavy, Zhongwen Xu, Vivek Veeriah, Matteo Hessel, Junhyuk Oh, Hado van Hasselt, David Silver, Satinder Singh
Self-Tuning Deep Reinforcement Learning. CoRR (2020)
Janarthanan Rajendran, Richard L. Lewis, Vivek Veeriah, Honglak Lee, Satinder Singh
How Should an Agent Practice? CoRR (2019)
Alexandra Kearney, Vivek Veeriah, Jaden B. Travnik, Patrick M. Pilarski, Richard S. Sutton
Learning Feature Relevance Through Step Size Adaptation in Temporal-Difference Learning. CoRR (2019)
Vivek Veeriah, Matteo Hessel, Zhongwen Xu, Janarthanan Rajendran, Richard L. Lewis, Junhyuk Oh, Hado van Hasselt, David Silver, Satinder Singh
Discovery of Useful Questions as Auxiliary Tasks. NeurIPS (2019)
Vivek Veeriah, Matteo Hessel, Zhongwen Xu, Richard L. Lewis, Janarthanan Rajendran, Junhyuk Oh, Hado van Hasselt, David Silver, Satinder Singh
Discovery of Useful Questions as Auxiliary Tasks. CoRR (2019)
Alexandra Kearney, Vivek Veeriah, Jaden B. Travnik, Richard S. Sutton, Patrick M. Pilarski
TIDBD: Adapting Temporal-difference Step-sizes Through Stochastic Meta-descent. CoRR (2018)
Vivek Veeriah, Junhyuk Oh, Satinder Singh
Many-Goals Reinforcement Learning. CoRR (2018)
Vivek Veeriah, Harm van Seijen, Richard S. Sutton
Forward Actor-Critic for Nonlinear Function Approximation in Reinforcement Learning. AAMAS (2017)
Vivek Veeriah, Shangtong Zhang, Richard S. Sutton
Crossprop: Learning Representations by Stochastic Meta-Gradient Descent in Neural Networks. ECML/PKDD (1) (2017)
Richard S. Sutton, Vivek Veeriah
Learning representations through stochastic gradient descent in cross-validation error. CoRR (2016)
Vivek Veeriah, Patrick M. Pilarski, Richard S. Sutton
Face valuing: Training user interfaces with facial expressions and reinforcement learning. CoRR (2016)
Vivek Veeriah, Rohit Durvasula, Guo-Jun Qi
Deep Learning Architecture with Dynamically Programmed Layers for Brain Connectome Prediction. KDD (2015)
Vivek Veeriah, Naifan Zhuang, Guo-Jun Qi
Differential Recurrent Neural Networks for Action Recognition. ICCV (2015)
Vivek Veeriah, Naifan Zhuang, Guo-Jun Qi
Differential Recurrent Neural Networks for Action Recognition. CoRR (2015)