论文信息 - Residual Network for Deep Reinforcement Learning with Attention Mechanism - 字舞流文

Residual Network for Deep Reinforcement Learning with Attention Mechanism

Tomoyuki Kaneko | Hanhua Zhu | Hanhua Zhu | Tomoyuki Kaneko

[1] Fei Sha,et al. Actor-Attention-Critic for Multi-Agent Reinforcement Learning , 2018, ICML.

[2] Yuan Chang Leong,et al. Dynamic Interaction between Reinforcement Learning and Attention in Multidimensional Environments , 2017, Neuron.

[3] Shane Legg,et al. IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures , 2018, ICML.

[4] Shane Legg,et al. Human-level control through deep reinforcement learning , 2015, Nature.

[5] Alex Mott,et al. Towards Interpretable Reinforcement Learning Using Attention Augmented Agents , 2019, NeurIPS.

[6] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[7] Tomoyuki Kaneko,et al. Deep Residual Attention Reinforcement Learning , 2019, 2019 International Conference on Technologies and Applications of Artiﬁcial Intelligence (TAAI).