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Satinder P. Singh

21 papers · 2008–2023 · 1 conference · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer πŸƒ Academic Marathon (15) 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (36) 🏠 Conference Loyalist (21) πŸ† Keyword Champion πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (100) πŸ’Ž Century Club (21) ⚑ Prolific Year (6)

Conferences

NIPS (21)

Top co-authors

David Silver (6) Hado P van Hasselt (6) Tom Zahavy (5) Andre Barreto (5) Zhongwen Xu (4) Matteo Hessel (4) Junhyuk Oh (4) Richard L. Lewis (4) Christopher Grimm (3) Richard L Lewis (3)

Keywords

reinforcement learning (8) model-based reinforcement learning (3) value equivalence (3) policy gradient (3) value function (2) bellman operator (2) reward function (2) in-context learning (2) representation learning (2) auxiliary task (2) hierarchical reinforcement learning (2) optimal policy (2) unsupervised pretraining (1) state abstraction (1) fenchel duality (1) convex optimization (1) multi-task learning (1) sequence modeling (1) model combination (1) knowledge transfer (1)

Papers

Optimistic Meta-Gradients NIPS 2023
A Definition of Continual Reinforcement Learning NIPS 2023
Structured State Space Models for In-Context Reinforcement Learning NIPS 2023
Large Language Models can Implement Policy Iteration NIPS 2023
Combining Behaviors with the Successor Features Keyboard NIPS 2023
Planning to the Information Horizon of BAMDPs via Epistemic State Abstraction NIPS 2022
Approximate Value Equivalence NIPS 2022
Palm up: Playing in the Latent Manifold for Unsupervised Pretraining NIPS 2022
Learning State Representations from Random Deep Action-conditional Predictions NIPS 2021
Proper Value Equivalence NIPS 2021
On the Expressivity of Markov Reward NIPS 2021
Reward is enough for convex MDPs NIPS 2021
Discovery of Options via Meta-Learned Subgoals NIPS 2021
Discovering Reinforcement Learning Algorithms NIPS 2020
A Self-Tuning Actor-Critic Algorithm NIPS 2020
Learning to Play No-Press Diplomacy with Best Response Policy Iteration NIPS 2020
Meta-Gradient Reinforcement Learning with an Objective Discovered Online NIPS 2020
On Efficiency in Hierarchical Reinforcement Learning NIPS 2020
The Value Equivalence Principle for Model-Based Reinforcement Learning NIPS 2020
Reward Design via Online Gradient Ascent NIPS 2010
Simple Local Models for Complex Dynamical Systems NIPS 2008