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Satinder Singh

Identifiers

  • name variant Satinder Singh 0.60 · backfill

Papers (28)

  1. COrigami: An AI Pipeline for Co-Designing Flat-Foldable Visually Recognisable Origami cs.AI · 2026 · author #19
  2. Learning Independently-Obtainable Reward Functions cs.LG · 2019 · author #2
  3. Generative Adversarial Self-Imitation Learning cs.LG · 2018 · author #3
  4. Learning End-to-End Goal-Oriented Dialog with Multiple Answers cs.CL · 2018 · author #3
  5. Many-Goals Reinforcement Learning cs.LG · 2018 · author #3
  6. Self-Imitation Learning cs.LG · 2018 · author #3
  7. NE-Table: A Neural key-value table for Named Entities cs.CL · 2018 · author #5
  8. On Learning Intrinsic Rewards for Policy Gradient Methods cs.AI · 2018 · author #3
  9. The Advantage of Doubling: A Deep Reinforcement Learning Approach to Studying the Double Team in the NBA cs.LG · 2018 · author #5
  10. Value Prediction Network cs.AI · 2017 · author #2
  11. Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning cs.AI · 2017 · author #2
  12. Repeated Inverse Reinforcement Learning cs.AI · 2017 · author #3
  13. Minimizing Maximum Regret in Commitment Constrained Sequential Decision Making cs.AI · 2017 · author #2
  14. Control of Memory, Active Perception, and Action in Minecraft cs.AI · 2016 · author #3
  15. Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games cs.AI · 2016 · author #2
  16. Towards Resolving Unidentifiability in Inverse Reinforcement Learning cs.AI · 2016 · author #2
  17. Action-Conditional Video Prediction using Deep Networks in Atari Games cs.LG · 2015 · author #5
  18. Learning to Make Predictions In Partially Observable Environments Without a Generative Model cs.LG · 2014 · author #2
  19. Approximate Planning for Factored POMDPs using Belief State Simplification cs.AI · 2013 · author #2
  20. On the Complexity of Policy Iteration cs.AI · 2013 · author #2
  21. Nash Convergence of Gradient Dynamics in Iterated General-Sum Games cs.GT · 2013 · author #1
  22. Fast Planning in Stochastic Games cs.GT · 2013 · author #3
  23. Graphical Models for Game Theory cs.GT · 2013 · author #3
  24. Predictive State Representations: A New Theory for Modeling Dynamical Systems cs.AI · 2012 · author #1
  25. Predictive Linear-Gaussian Models of Stochastic Dynamical Systems cs.AI · 2012 · author #2
  26. Optimal Coordinated Planning Amongst Self-Interested Agents with Private State cs.GT · 2012 · author #3
  27. Knowledge Combination in Graphical Multiagent Model cs.AI · 2012 · author #3
  28. Variance-Based Rewards for Approximate Bayesian Reinforcement Learning cs.LG · 2012 · author #2

Mentions

  • 2606.26299 #19 · arxiv_oai · confidence 0.70 Satinder Singh
  • 1507.08750 #5 · backfill · confidence 0.70 Satinder Singh
  • 1401.3870 #2 · backfill · confidence 0.70 Satinder Singh
  • 1301.6719 #2 · backfill · confidence 0.70 Satinder Singh
  • 1301.6718 #2 · backfill · confidence 0.70 Satinder Singh
  • 1301.3892 #1 · backfill · confidence 0.70 Satinder Singh
  • 1301.3867 #3 · backfill · confidence 0.70 Satinder Singh
  • 1301.2281 #3 · backfill · confidence 0.70 Satinder Singh
  • 1207.4167 #1 · backfill · confidence 0.70 Satinder Singh
  • 1207.1416 #2 · backfill · confidence 0.70 Satinder Singh
  • 1206.6820 #3 · backfill · confidence 0.70 Satinder Singh
  • 1206.3248 #3 · backfill · confidence 0.70 Satinder Singh
  • 1203.3518 #2 · backfill · confidence 0.70 Satinder Singh

Frequent Coauthors