112 citations · 202 across the 7 of their papers we have counts for
4 papers · 1 filter
Deep PQR: Solving Inverse Reinforcement Learning using Anchor Actions
Sinong Geng, Houssam Nassif, Carlos A. Manzanares +2
We propose a reward function estimation framework for inverse reinforcement learning with deep energy-based policies. We name our method PQR, as it sequentially estimates the Polic…
Bayesian Meta-Prior Learning Using Empirical Bayes
Sareh Nabi, Houssam Nassif, Joseph Hong +2
Adding domain knowledge to a learning system is known to improve results. In multi-parameter Bayesian frameworks, such knowledge is incorporated as a prior. On the other hand, vari…
An Efficient Bandit Algorithm for Realtime Multivariate Optimization
Daniel N Hill, Houssam Nassif, Yi Liu +2
Optimization is commonly employed to determine the content of web pages, such as to maximize conversions on landing pages or click-through rates on search engine result pages. Ofte…
Contextual Multi-Armed Bandits for Causal Marketing
Neela Sawant, Chitti Babu Namballa, Narayanan Sadagopan +1
This work explores the idea of a causal contextual multi-armed bandit approach to automated marketing, where we estimate and optimize the causal (incremental) effects. Focusing on…