slides

Talks and slides from original authors:

1. [48mins] A Distributional Perspective on Reinforcement Learning - Marc Bellemare at Alberta Machine Intelligence Institute (amii) https://vimeo.com/235922311 https://youtu.be/ba_l8IKoMvU

2. [17mins] A Distributional Perspective on Reinforcement Learning —- Marc Bellemare presentation at ICML 2017 https://vimeo.com/237274251

3. [30mins] Distributional reinforcement learning, Rémi Munos (Deepmind) November 23, 2018 at ENS Organization: Francis Bach (Inria, ENS), Gabriel Peyré (CNRS, ENS) and Cordelia Schmid (Inria) A FSMP and DIM MathInnov event https://vimeo.com/304849090

4. [10mins] Implicit Quantile Networks for Distributional Reinforcement Learning Presentation at ICML 2018 https://vimeo.com/312260406

5. [1h04mins] Deep RL Bootcamp Frontiers Lecture I: Recent Advances, Frontiers and Future of Deep RL https://youtu.be/bsuvM1jO-4w

6. Distributional Reinforcement Learning at European Workshop on Reinforcement Learning https://ewrl.files.wordpress.com/2018/10/distributional_rl.pdf

References:

• Bellemare, M. G., Dabney, W., & Munos, R. (2017). A Distributional Perspective on Reinforcement Learning. Retrieved from https://arxiv.org/pdf/1707.06887.pdf
• Rowland, M., Dadashi, R., Kumar, S., Munos, R., Bellemare, M. G., & Dabney, W. (n.d.). Statistics and Samples in Distributional Reinforcement Learning. Retrieved from https://arxiv.org/pdf/1902.08102.pdf