Deep Reinforcement Learning and its Neuroscientific Implications

7 July 2020

Papers citing "Deep Reinforcement Learning and its Neuroscientific Implications"

35 / 35 papers shown

Title
Beyond Turing: Memory-Amortized Inference as a Foundation for Cognitive Computation Xin Li 60 0 0 19 Aug 2025
Uncertainty Prioritized Experience Replay Rodrigo Carrasco-Davis Sebastian Lee Claudia Clopath Will Dabney 82 0 0 10 Jun 2025
Of Mice and Machines: A Comparison of Learning Between Real World Mice and RL Agents Shuo Han German Espinosa Junda Huang D. Dombeck Malcolm A. MacIver Bradly C. Stadie 173 0 0 18 May 2025
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review Chengmin Zhou Ville Kyrki Pasi Fränti Laura Ruotsalainen BDL AI4CE 195 0 0 12 May 2025
A recurrent vision transformer shows signatures of primate visual attention Jonathan Morgan Badr Albanna James P. Herman 133 0 0 16 Feb 2025
Mimicking Human Intuition: Cognitive Belief-Driven Reinforcement Learning Xingrui Gu Guanren Qiao Chuyi Jiang OffRL 153 0 0 02 Oct 2024
Lifelong Reinforcement Learning via Neuromodulation Sebastian Lee Samuel Liebana Garcia Claudia Clopath Will Dabney 99 0 0 15 Aug 2024
Is artificial consciousness achievable? Lessons from the human brain M. Farisco K. Evers J. Changeux 119 8 0 18 Apr 2024
Language Writ Large: LLMs, ChatGPT, Grounding, Meaning and Understanding S. Harnad 104 13 0 03 Feb 2024
Randomly Weighted Neuromodulation in Neural Networks Facilitates Learning of Manifolds Common Across Tasks Jinyung Hong Theodore P. Pavlic 62 0 0 17 Nov 2023
Learning Control Policies of Hodgkin-Huxley Neuronal Dynamics Malvern Madondo Deepanshu Verma Lars Ruthotto Nicholas Au Yong 31 0 0 13 Nov 2023
An introduction to reinforcement learning for neuroscience Kristopher T. Jensen OOD OffRL AI4CE 59 3 0 13 Nov 2023
Predictive auxiliary objectives in deep RL mimic learning in the brain Ching Fang Kimberly L. Stachenfeld 136 10 0 09 Oct 2023
Deep Learning for Steganalysis of Diverse Data Types: A review of methods, taxonomy, challenges and future directions Hamza Kheddar Mustapha Hemis Yassine Himeur David Megías Abbes Amira AAML 138 41 0 08 Aug 2023
Brain-inspired learning in artificial neural networks: a review Samuel Schmidgall Jascha Achterberg Thomas Miconi Louis Kirsch Rojin Ziaei S. P. Hajiseyedrazi Nhan Duy Truong 97 72 0 18 May 2023
Habits and goals in synergy: a variational Bayesian framework for behavior Dongqi Han Kenji Doya Dongsheng Li Jun Tani BDL 114 214 0 11 Apr 2023
Rejecting Cognitivism: Computational Phenomenology for Deep Learning P. Beckmann G. Köstner Ines Hipólito 117 4 0 16 Feb 2023
A Rubric for Human-like Agents and NeuroAI Ida Momennejad 160 16 0 08 Dec 2022
Computational Inference in Cognitive Science: Operational, Societal and Ethical Considerations Baihan Lin AI4CE 103 8 0 24 Oct 2022
Intrinsic fluctuations of reinforcement learning promote cooperation W. Barfuss Janusz M. Meylahn 105 22 0 01 Sep 2022
What deep reinforcement learning tells us about human motor learning and vice-versa Michele Garibbo Casimir J. H. Ludwig Nathan Lepora Laurence Aitchison 78 0 0 23 Aug 2022
Challenges and Opportunities in Deep Reinforcement Learning with Graph Neural Networks: A Comprehensive review of Algorithms and Applications Sai Munikoti D. Agarwal L. Das M. Halappanavar Balasubramaniam Natarajan GNN OffRL AI4CE 126 82 0 16 Jun 2022
Improving the Level of Autism Discrimination through GraphRNN Link Prediction Haonan Sun Q. He Shouliang Qi Yudong Yao Yueyang Teng 80 0 0 19 Feb 2022
Successor Feature Neural Episodic Control David Emukpere Xavier Alameda-Pineda Chris Reinke BDL 77 3 0 04 Nov 2021
An Economy of Neural Networks: Learning from Heterogeneous Experiences A. Kuriksha 74 9 0 22 Oct 2021
Emergent behavior and neural dynamics in artificial agents tracking turbulent plumes Satpreet H. Singh F. V. Breugel Rajesh P. N. Rao Bingni W. Brunton 107 4 0 25 Sep 2021
A nonlinear hidden layer enables actor-critic agents to learn multiple paired association navigation M Ganesh Kumar Cheston Tan C. Libedinsky S. Yen A. Tan 60 6 0 25 Jun 2021
Active Inference Tree Search in Large POMDPs D. Maisto F. Gregoretti Karl J. Friston G. Pezzulo AI4CE 109 1 0 25 Mar 2021
Measuring and modeling the motor system with machine learning Sébastien B Hausmann Alessandro Marin Vargas Alexander Mathis Mackenzie W. Mathis 117 52 0 22 Mar 2021
A multi-agent reinforcement learning model of reputation and cooperation in human groups Kevin R. McKee Edward Hughes Tina Zhu Martin Chadwick Raphael Köster Antonio García Castañeda Charlie Beattie T. Graepel M. Botvinick Joel Z Leibo 110 10 0 08 Mar 2021
Meta-learning in natural and artificial intelligence Jane X. Wang 108 120 0 26 Nov 2020
Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks Wei Fang Zhaofei Yu Yanqing Chen T. Masquelier Tiejun Huang Yonghong Tian 312 570 0 11 Jul 2020
Reinforcement Learning and its Connections with Neuroscience and Psychology Ajay Subramanian Sharad Chitlangia V. Baths OffRL 240 32 0 25 Jun 2020
Artificial neural networks for neuroscientists: A primer G. R. Yang Xiao-Jing Wang 132 265 0 01 Jun 2020
Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers Baihan Lin 217 2 0 27 Feb 2019