Non-stationarity is a fundamental challenge in multi-agent reinforcement...
Stochastic games are a popular framework for studying multi-agent
reinfo...
We study stochastic mean-field games among finite number of teams with l...
Independent learners are learning agents that naively employ single-agen...
It is known that fixed rate adaptive quantizers can be used to stabilize...
Reinforcement learning algorithms often require finiteness of state and
...
In multi-agent reinforcement learning (MARL), independent learners are t...
Signaling game problems investigate communication scenarios where encode...
In this paper, for POMDPs, we provide the convergence of a Q learning
al...
Optimal zero-delay coding (quantization) of ℝ^d-valued linearly
generate...
We consider communications between an encoder and a decoder, viewed as t...
We investigate the equilibrium behavior for the decentralized quadratic ...
In the theory of Partially Observed Markov Decision Processes (POMDPs),
...
In statistical decision theory involving a single decision-maker, one sa...
We introduce a privacy-signaling game problem in which a transmitter wit...
We investigate the equilibrium behavior for the decentralized quadratic ...
We study stochastic stabilization of non-linear dynamical systems under
...