3 citations · 3 across the 1 of their papers we have counts for
3 papers
cs.LG2020
Symbolic Network: Generalized Neural Policies for Relational MDPs
Sankalp Garg, Aniket Bajpai, Mausam
A Relational Markov Decision Process (RMDP) is a first-order representation to express all instances of a single probabilistic planning domain with possibly unbounded number of obj…
cs.LG2019★ 3 cited
Size Independent Neural Transfer for RDDL Planning
Sankalp Garg, Aniket Bajpai, Mausam
Neural planners for RDDL MDPs produce deep reactive policies in an offline fashion. These scale well with large domains, but are sample inefficient and time-consuming to train from…
cs.AI2018
Transfer of Deep Reactive Policies for MDP Planning
Aniket Bajpai, Sankalp Garg, Mausam
Domain-independent probabilistic planners input an MDP description in a factored representation language such as PPDDL or RDDL, and exploit the specifics of the representation for…