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Satinder Singh

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Papers (27)

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

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