1 citations · 1 across the 6 of their papers we have counts for
6 papers
Empirical Coordination over Markov Channel with Independent Source
Mengyuan Zhao, Maël Le Treust, Tobias J. Oechtering
We study joint source-channel coding over Markov channels through the empirical coordination framework. More specifically, we aim at determining the empirical distributions of sour…
Low-Power Optimal Strategy for Witsenhausen Counterexample
Mengyuan Zhao, Maël Le Treust, Tobias J. Oechtering
We discuss the Witsenhausen counterexample from the perspective of varying power budgets and propose a low-power estimation (LoPE) strategy. Specifically, our LoPE approach designs…
Zero Estimation Cost Strategy for Witsenhausen Counterexample with Causal Encoder
Mengyuan Zhao, Tobias J. Oechtering, Maël Le Treust
We propose a zero estimation cost (ZEC) scheme for causal-encoding noncausal-decoding vector-valued Witsenhausen counterexample based on the coordination coding result. In contrast…
Optimal Gaussian Strategies for Vector-valued Witsenhausen Counterexample with Non-causal State Estimator
Mengyuan Zhao, Tobias J. Oechtering, Maël Le Treust
In this study, we investigate a vector-valued Witsenhausen model where the second decision maker (DM) acquires a vector of observations before selecting a vector of estimations. He…
Causal Vector-valued Witsenhausen Counterexamples with Feedback
Mengyuan Zhao, Maël Le Treust, Tobias J. Oechtering
We study the continuous vector-valued Witsenhausen counterexample through the lens of empirical coordination coding. We characterize the region of achievable pairs of costs in thre…
Causal Coordination for Distributed Decision-Making
Mengyuan Zhao, Tobias J. Oechtering, Maël Le Treust
In decentralized network control, communication plays a critical role by transforming local observations into shared knowledge, enabling agents to coordinate their actions. This pa…