Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Temporal-Logic-Based Intermittent, Optimal, and Safe Continuous-Time
  Learning for Trajectory Tracking   In this paper, we develop safe reinforcement-learning-based controllers for
systems tasked with accomplishing complex missions that can be expressed as
linear temporal logic specifications, similar to those required by
search-and-rescue missions. We decompose the original mission into a sequence
of tracking sub-problems under safety constraints. We impose the safety
conditions by utilizing barrier functions to map the constrained optimal
tracking problem in the physical space to an unconstrained one in the
transformed space. Furthermore, we develop policies that intermittently update
the control signal to solve the tracking sub-problems with reduced burden in
the communication and computation resources. Subsequently, an actor-critic
algorithm is utilized to solve the underlying Hamilton-Jacobi-Bellman
equations. Finally, we support our proposed framework with stability proofs and
showcase its efficacy via simulation results.

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The categories of this paper are: hep-ph
9
The categories of this paper are: nlin
31
The categories of this paper are: ao-sci
22
The categories of this paper are: chao-dyn
32
The categories of this paper are: atom-ph
8
The categories of this paper are: hep-ex
34
The categories of this paper are: chem-ph
30
The categories of this paper are: q-alg
33
The categories of this paper are: plasm-ph
21
The categories of this paper are: adap-org
16
The categories of this paper are: stat
35
The categories of this paper are: mtrl-th
10
The categories of this paper are: q-bio
23
The categories of this paper are: solv-int
2
The categories of this paper are: math
36
The categories of this paper are: cmp-lg