Satinder P. Singh
22 papers · 2008–2025 · 1 venue · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Full π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (38) π± Topic Pioneer
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Conference Loyalist
(22)
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Keyword Champion
π§
Keyword Pioneer
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Trend Setter
β‘
Prolific Year Β· Productive
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Century Club Β· Bronze
ποΈ
Keyword Collector
(107)
Venues
Top co-authors
Research topics
Reinforcement Learning
(15)
Machine Learning
(14)
Artificial Intelligence
(13)
Methods
(13)
Core AI
(10)
Learning Types Β· Machine Learning
(9)
Optimization & Theory
(7)
Deep Learning
(5)
Applications
(5)
Core Methods
(5)
Learning Paradigms Β· Artificial Intelligence
(5)
Learning Types Β· Deep Learning
(4)
Learning Paradigms Β· Machine Learning
(2)
Data Science & Analytics
(1)
Natural Language Processing
(1)
Keywords
reinforcement learning
(8)
value equivalence
(3)
policy gradient
(3)
model-based reinforcement learning
(3)
online learning
(2)
value function
(2)
auxiliary task
(2)
reward function
(2)
bellman operator
(2)
representation learning
(2)
in-context learning
(2)
hierarchical reinforcement learning
(2)
optimal policy
(2)
fenchel duality
(1)
multi-task learning
(1)
convex optimization
(1)
model combination
(1)
temporal difference learning
(1)
sequence modeling
(1)
self-supervised learning
(1)
Papers
Evaluating In Silico Creativity: An Expert Review of AI Chess Compositions
NeurIPS 2025
A Definition of Continual Reinforcement Learning
NeurIPS 2023
Combining Behaviors with the Successor Features Keyboard
NeurIPS 2023
Large Language Models can Implement Policy Iteration
NeurIPS 2023
Optimistic Meta-Gradients
NeurIPS 2023
Structured State Space Models for In-Context Reinforcement Learning
NeurIPS 2023
Approximate Value Equivalence
NeurIPS 2022
Palm up: Playing in the Latent Manifold for Unsupervised Pretraining
NeurIPS 2022
Planning to the Information Horizon of BAMDPs via Epistemic State Abstraction
NeurIPS 2022
Discovery of Options via Meta-Learned Subgoals
NeurIPS 2021
Learning State Representations from Random Deep Action-conditional Predictions
NeurIPS 2021
On the Expressivity of Markov Reward
NeurIPS 2021
Proper Value Equivalence
NeurIPS 2021
Reward is enough for convex MDPs
NeurIPS 2021
A Self-Tuning Actor-Critic Algorithm
NeurIPS 2020
Discovering Reinforcement Learning Algorithms
NeurIPS 2020
Learning to Play No-Press Diplomacy with Best Response Policy Iteration
NeurIPS 2020
Meta-Gradient Reinforcement Learning with an Objective Discovered Online
NeurIPS 2020
On Efficiency in Hierarchical Reinforcement Learning
NeurIPS 2020
The Value Equivalence Principle for Model-Based Reinforcement Learning
NeurIPS 2020
Reward Design via Online Gradient Ascent
NeurIPS 2010
Simple Local Models for Complex Dynamical Systems
NeurIPS 2008