Visual Explanation using Attention Mechanism in Actor-Critic-based Deep Reinforcement Learning. - Hidenori Itaya; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi; Komei Sugiura (IJCNN, 2021)

Solving the Deadlock Problem with Deep Reinforcement Learning Using Information from Multiple Vehicles. - Tsuyoshi Goto; Hidenori Itaya; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (IV, 2022)

Visual Explanation for Cooperative Behavior in Multi-Agent Reinforcement Learning. - Hidenori Itaya; Tom Sagawa; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (IJCNN, 2023)

Action Q-Transformer: Visual Explanation in Deep Reinforcement Learning with Encoder-Decoder Model using Action Query. - Hidenori Itaya; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi; Komei Sugiura (CoRR, 2023)

High-Precision for Multi-Task Learning from In-Vehicle Camera using BiFPN. - Chenyu Zhang; Hidenori Itaya; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (IV, 2024)

Mask-Attention A3C: Visual Explanation of Action-State Value in Deep Reinforcement Learning. - Hidenori Itaya; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi; Komei Sugiura (IEEE Access, 2024)

Visual Explanation With Action Query Transformer in Deep Reinforcement Learning and Visual Feedback via Augmented Reality. - Hidenori Itaya; Wantao Yin; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi; Komei Sugiura (IEEE Access, 2025)