Scaling Laws for Single-agent Reinforcement Learning
Reinforcement Learning from Human Feedback: Progress and Challenges
Causal Reinforcement Learning -- Part 2/2 (ICML tutorial)
Causal Reinforcement Learning -- Part 1/2 (ICML tutorial)
Reinforcement Learning for Precision Oncology
The accelerating merger of information technology and cancer research heralds the advent of novel methods and models for clinical decision making in oncology. Reinforcement learning—as one of the major subspecialties in machine learning—holds the potential for the development of high-performance decision support tools. However, many recent studies of reinforcement learning in oncology suffer from common shortcomings and pitfalls that need to be addressed for the development of safe, interpretable and reliable algorithms for future clinical practice.
Learning to Reinforcement Learn - DSA ADS Course 2023
DSA ADS Course 2023
This DSA ADS course is part of a series of courses that demonstrate how to use applied data science with high performance compute and high quality data to optimize decision making in real world scenarios.
Discuss deep reinforcement learning systems.
Making Contextual Decisions with Low Technical Debt
DSA External Course - 2021