10 citations · 15 across the 11 of their papers we have counts for
11 papers
Information Compression in Dynamic Games
Dengwang Tang, Vijay Subramanian, Demosthenis Teneketzis
One of the reasons why stochastic dynamic games with an underlying dynamic system are challenging is since strategic players have access to enormous amount of information which lea…
Pure Exploration for Constrained Best Mixed Arm Identification with a Fixed Budget
Dengwang Tang, Rahul Jain, Ashutosh Nayyar +1
In this paper, we introduce the constrained best mixed arm identification (CBMAI) problem with a fixed budget. This is a pure exploration problem in a stochastic finite armed bandi…
Information Compression in Dynamic Information Disclosure Games
Dengwang Tang, Vijay G. Subramanian
We consider a two-player dynamic information design problem between a principal and a receiver -- a game is played between the two agents on top of a Markovian system controlled by…
Efficient Online Learning with Offline Datasets for Infinite Horizon MDPs: A Bayesian Approach
Dengwang Tang, Rahul Jain, Botao Hao +1
In this paper, we study the problem of efficient online reinforcement learning in the infinite horizon setting when there is an offline dataset to start with. We assume that the of…
Posterior Sampling-based Online Learning for Episodic POMDPs
Dengwang Tang, Dongze Ye, Rahul Jain +2
Learning in POMDPs is known to be significantly harder than in MDPs. In this paper, we consider the online learning problem for episodic POMDPs with unknown transition and observat…
A Novel Point-based Algorithm for Multi-agent Control Using the Common Information Approach
Dengwang Tang, Ashutosh Nayyar, Rahul Jain
The Common Information (CI) approach provides a systematic way to transform a multi-agent stochastic control problem to a single-agent partially observed Markov decision problem (P…