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Found 6 papers, 0 papers with code
Provable Reinforcement Learning for Networked Control Systems with Stochastic Packet Disordering
This paper formulates a stochastic optimal control problem for linear networked control systems featuring stochastic packet disordering with a unique stabilizing solution certified.
Structural Balance of Complex Weighted Graphs and Multi-partite Consensus
The structural balance of a signed graph is known to be necessary and sufficient to obtain a bipartite consensus among agents with friend-foe relationships.
Data-Driven Inverse Reinforcement Learning for Expert-Learner Zero-Sum Games
In this paper, we formulate inverse reinforcement learning (IRL) as an expert-learner interaction whereby the optimal performance intent of an expert or target agent is unknown to a learner agent.
Prescribed-Time Control and Its Latest Developments
Prescribed-time (PT) control, originated from \textit{Song et al.}, has gained increasing attention among control community.
Learning nonlinear dynamics in synchronization of knowledge-based leader-following networks
This paper proposes a learning-based fully distributed observer for a class of nonlinear leader systems, which can simultaneously learn the leader's dynamics and states.
Local Policy Optimization for Trajectory-Centric Reinforcement Learning
Motivated by these problems, we try to formulate the problem of trajectory optimization and local policy synthesis as a single optimization problem.
Model-based Reinforcement Learning
reinforcement-learning
+1
