DeepHack.RL: Doina Precup - Temporal abstraction in reinforcement learning
2022.13 Deep RL - Doina Precup
Hierarchical reinforcement learning - Doina Precup
Machine Learning Doina Precup
Doina Precup | CSPC 2017
DeepHack.RL: Mikhail Burtsev - Model-based reinforcement learning for alternating environments
Building Knowledge For AI Agents With Reinforcement Learning | Doina Precup (Keynote)
DeepHack.RL: Andrew Barto - Intrinsically motivated reinforcement learning
How computers learn like people | Doina Precup | TEDxMcGill
DLRLSS 2019 - Off Policy - Doina Precup
Doina Precup: Reinforcement Learning III
DeepHack.RL: Tejas Kulkarni - Revisiting successor representations
2018 - Minding the Future: Living in a High-Tech World (Doina Precup & Ian Kerr)
DeepHack.RL: Alexey Dosovitskiy - Visuomotor control in 3D environments
Doina Precup - From deep reinforcement learning to AI
Doina Precup (McGill & DeepMind) in conversation with Sven Strohband (Khosla Ventures)
NAMPI Workshop: Session 2
An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay
How much AI should we build in vs. learn? Tenenbaum, Clune, Precup, Kaelbling, Saria
Donna Precup
