1 citations · 2 across the 4 of their papers we have counts for
3 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-…