… methods for explainable deep reinforcement learning methods, … of the deep reinforcement
learning explainability problems, … of a general explainable reinforcement learning framework. …

… We review concepts related to the explainability of Deep Reinforcement Learning models. …
to attain Explainable Reinforcement Learning (XRL), a relatively new subfield of Explainable …

… no single work offering an overview of Explainable Reinforcement Learning (XRL) methods,
… eXplainable Artificial Intelligence (XAI) in general and eXplainable Reinforcement Learning (…

… This review looks to explore current approaches and limitations for XAI in the area of
Reinforcement Learning (RL). From 520 search results, 25 studies (including 5 snowball sampled) …

… In this paper, a novel explainable deep neural network-based path planner is proposed for
… the path planner is trained using Deep Reinforcement Learning (DRL) method in simulation …

… In this paper, we present a reinforcement learning framework for explainable recommendation.
Our framework is model-agnostic, has good explainability, and can flexibly control the …

… In Section 2, we review existing works on the explainable deep reinforcement learning. In
Section 3, we describe the problem formulation of a DRL-based portfolio management task. In …

… Although deep reinforcement learning (DRL) has been utilized in the power system field, …
Using the explainable AI (XAI) technology to explain why power system models make certain …

… The use of Deep Reinforcement Learning (DRL) schemes has … To solve this problem,
the ield of Explainable Artiicial … Explainable AI methods on a deep reinforcement learning …

… However, deep reinforcement learning methods are … , we propose an eXplainable
reinforcement learning framework for … explainability into our model, we employ an explainable …