Vivek Veeriah
8 papers · 2015–2023 · 4 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (14) π Conference Polyglot (4) π Academic Marathon (8) π Renaissance Researcher (5) π Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(16)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Keyword Champion
(3)
β
The Questioner
Conferences
NIPS (5)
AAAI (1)
ICCV (1)
ICML (1)
Top co-authors
Keywords
auxiliary task
(3)
general value function
(3)
reinforcement learning
(3)
representation learning
(3)
hyperparameter tuning
(1)
hierarchical reinforcement learning
(1)
self-supervised learning
(1)
agent learning
(1)
anomaly detection
(1)
temporal abstraction
(1)
off-policy learning
(1)
constrained markov decision process
(1)
long short-term memory
(1)
information gain
(1)
last-iterate convergence
(1)
recurrent neural network
(1)
optimistic method
(1)
intrinsic reward
(1)
state representation
(1)
policy optimization
(1)
Papers
ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs
ICML 2023
Discovery of Options via Meta-Learned Subgoals
NIPS 2021
Learning State Representations from Random Deep Action-conditional Predictions
NIPS 2021
Learning Retrospective Knowledge with Reverse Reinforcement Learning
NIPS 2020
How Should an Agent Practice?
AAAI 2020
A Self-Tuning Actor-Critic Algorithm
NIPS 2020
Discovery of Useful Questions as Auxiliary Tasks
NIPS 2019
Differential Recurrent Neural Networks for Action Recognition
ICCV 2015