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Marc G. Bellemare

Identifiers

  • name variant Marc G. Bellemare 0.60 · backfill

Papers (27)

  1. DeepMDP: Learning Continuous Latent Space Models for Representation Learning cs.LG · 2019 · author #5
  2. Statistics and Samples in Distributional Reinforcement Learning stat.ML · 2019 · author #5
  3. Hyperbolic Discounting and Learning over Multiple Horizons stat.ML · 2019 · author #4
  4. Distributional reinforcement learning with linear function approximation cs.LG · 2019 · author #1
  5. A Geometric Perspective on Optimal Representations for Reinforcement Learning cs.LG · 2019 · author #1
  6. Shaping the Narrative Arc: An Information-Theoretic Approach to Collaborative Dialogue cs.HC · 2019 · author #5
  7. The Value Function Polytope in Reinforcement Learning cs.LG · 2019 · author #5
  8. A Comparative Analysis of Expected and Distributional Reinforcement Learning cs.LG · 2019 · author #3
  9. Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift cs.LG · 2019 · author #2
  10. An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents cs.NE · 2018 · author #9
  11. Dopamine: A Research Framework for Deep Reinforcement Learning cs.LG · 2018 · author #5
  12. An Introduction to Deep Reinforcement Learning cs.LG · 2018 · author #4
  13. Approximate Exploration through State Abstraction cs.LG · 2018 · author #3
  14. An Analysis of Categorical Distributional Reinforcement Learning stat.ML · 2018 · author #2
  15. Distributional Reinforcement Learning with Quantile Regression cs.AI · 2017 · author #3
  16. Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents cs.LG · 2017 · author #2
  17. A Distributional Perspective on Reinforcement Learning cs.LG · 2017 · author #1
  18. The Cramer Distance as a Solution to Biased Wasserstein Gradients cs.LG · 2017 · author #1
  19. Automated Curriculum Learning for Neural Networks cs.NE · 2017 · author #2
  20. Count-Based Exploration with Neural Density Models cs.AI · 2017 · author #2
  21. A Laplacian Framework for Option Discovery in Reinforcement Learning cs.LG · 2017 · author #2
  22. Safe and Efficient Off-Policy Reinforcement Learning cs.LG · 2016 · author #4
  23. Unifying Count-Based Exploration and Intrinsic Motivation cs.AI · 2016 · author #1
  24. Q($\lambda$) with Off-Policy Corrections cs.AI · 2016 · author #2
  25. Increasing the Action Gap: New Operators for Reinforcement Learning cs.AI · 2015 · author #1
  26. Compress and Control cs.AI · 2014 · author #2
  27. The Arcade Learning Environment: An Evaluation Platform for General Agents cs.AI · 2012 · author #1

Mentions

  • 1411.5326 #2 · backfill · confidence 0.70 Marc G. Bellemare
  • 1207.4708 #1 · backfill · confidence 0.70 Marc G. Bellemare

Frequent Coauthors