165 citations · 180 across the 12 of their papers we have counts for
4 papers · 1 filter
Neuro-symbolic Meta Reinforcement Learning for Trading
S I Harini, Gautam Shroff, Ashwin Srinivasan +2
We model short-duration (e.g. day) trading in financial markets as a sequential decision-making problem under uncertainty, with the added complication of continual concept-drift. W…
Neuro-symbolic EDA-based Optimisation using ILP-enhanced DBNs
Sarmimala Saikia, Lovekesh Vig, Ashwin Srinivasan +3
We investigate solving discrete optimisation problems using the estimation of distribution (EDA) approach via a novel combination of deep belief networks(DBN) and inductive logic p…
Generation of Near-Optimal Solutions Using ILP-Guided Sampling
Ashwin Srinivasan, Gautam Shroff, Lovekesh Vig +2
Our interest in this paper is in optimisation problems that are intractable to solve by direct numerical optimisation, but nevertheless have significant amounts of relevant domain-…
Warranty Cost Estimation Using Bayesian Network
Karamjit Singh, Puneet Agarwal, Gautam Shroff
All multi-component product manufacturing companies face the problem of warranty cost estimation. Failure rate analysis of components plays a key role in this problem. Data source…