  In Environment Design, one interested party seeks to affect another agent's
decisions by applying changes to the environment. Most research on planning
environment (re)design assumes the interested party's objective is to
facilitate the recognition of goals and plans, and search over the space of
environment modifications to find the minimal set of changes that simplify
those tasks and optimise a particular metric. This search space is usually
intractable, so existing approaches devise metric-dependent pruning techniques
for performing search more efficiently. This results in approaches that are not
able to generalise across different objectives and/or metrics. In this paper,
we argue that the interested party could have objectives and metrics that are
not necessarily related to recognising agents' goals or plans. Thus, to
generalise the task of Planning Environment Redesign, we develop a general
environment redesign approach that is metric-agnostic and leverages recent
research on top-quality planning to efficiently redesign planning environments
according to any interested party's objective and metric. Experiments over a
set of environment redesign benchmarks show that our general approach
outperforms existing approaches when using well-known metrics, such as
facilitating the recognition of goals, as well as its effectiveness when
solving environment redesign tasks that optimise a novel set of different
metrics.
