An Introduction to Deep Reinforcement Learning
Deep reinforcement learning is the combination of reinforcement learning (RL) and deep learning. This field of research has been able to solve a wide range of complex decision-m...
Publications
3 shownFinite state modelling in program development
A technique is presented whereby a significant amount of program validation can be done simply by exercising the program components in a model environment provided by a finite s...
Deep Reinforcement Learning That Matters
In recent years, significant progress has been made in solving challenging problems across various domains using deep reinforcement learning (RL). Reproducing existing work and ...
Frequent Co-Authors
Researcher Info
- h-index
- 3
- Publications
- 3
- Citations
- 2,592
- Institution
- McGill University
External Links
Identifiers
- ORCID
- 0000-0003-3938-0541
Impact Metrics
h-index
3
h-index: Number of publications with at least h citations each.