Vivek Veeriah
9 papers · 2015–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (18) 🐣 Hot Topic Early Bird
🧭
Keyword Pioneer
🏆
Keyword Champion
(3)
🧬
Topic Evolution
❓
The Questioner
Venues
Top co-authors
Research topics
Reinforcement Learning
(7)
Methods
(7)
Machine Learning
(6)
Artificial Intelligence
(5)
Learning Types · Machine Learning
(5)
Core AI
(4)
Deep Learning
(3)
Learning Paradigms · Artificial Intelligence
(3)
Core Methods
(2)
Learning Paradigms · Machine Learning
(2)
Mathematics & Optimization
(1)
Applications
(1)
Architectures
(1)
Learning Types · Deep Learning
(1)
Models
(1)
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
Evaluating In Silico Creativity: An Expert Review of AI Chess Compositions
NeurIPS 2025
ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs
ICML 2023
Discovery of Options via Meta-Learned Subgoals
NeurIPS 2021
Learning State Representations from Random Deep Action-conditional Predictions
NeurIPS 2021
A Self-Tuning Actor-Critic Algorithm
NeurIPS 2020
How Should an Agent Practice?
AAAI 2020
Learning Retrospective Knowledge with Reverse Reinforcement Learning
NeurIPS 2020
Discovery of Useful Questions as Auxiliary Tasks
NeurIPS 2019
Differential Recurrent Neural Networks for Action Recognition
ICCV 2015