A neurally plausible model learns successor representations in partially observable environments

22 June 2019

Papers citing "A neurally plausible model learns successor representations in partially observable environments"

15 / 15 papers shown

Title
A Distributional Analogue to the Successor Representation Harley Wiltzer Jesse Farebrother Arthur Gretton Yunhao Tang André Barreto Will Dabney Marc G. Bellemare Mark Rowland 46 5 0 13 Feb 2024
Distributional Bellman Operators over Mean Embeddings Wenliang Kevin Li Grégoire Delétang Matthew Aitchison Marcus Hutter Anian Ruoss Arthur Gretton Mark Rowland OffRL 15 4 0 09 Dec 2023
An introduction to reinforcement learning for neuroscience Kristopher T. Jensen OOD OffRL AI4CE 36 1 0 13 Nov 2023
Uncertainty-aware transfer across tasks using hybrid model-based successor feature reinforcement learning Parvin Malekzadeh Ming Hou Konstantinos N. Plataniotis 51 1 0 16 Oct 2023
A Rubric for Human-like Agents and NeuroAI Ida Momennejad 55 14 0 08 Dec 2022
Unsupervised representation learning with recognition-parametrised probabilistic models William I. Walker Hugo Soulat Changmin Yu M. Sahani BDL 20 2 0 13 Sep 2022
AKF-SR: Adaptive Kalman Filtering-based Successor Representation Parvin Malekzadeh Mohammad Salimibeni Ming Hou Arash Mohammadi Konstantinos N. Plataniotis 17 5 0 31 Mar 2022
Multi-Agent Reinforcement Learning via Adaptive Kalman Temporal Difference and Successor Representation Mohammad Salimibeni Arash Mohammadi Parvin Malekzadeh Konstantinos N. Plataniotis 18 5 0 30 Dec 2021
Tuning the Weights: The Impact of Initial Matrix Configurations on Successor Features Learning Efficacy Hyunsu Lee 11 5 0 03 Nov 2021
Successor Feature Representations Chris Reinke Xavier Alameda-Pineda 29 5 0 29 Oct 2021
A First-Occupancy Representation for Reinforcement Learning Theodore H. Moskovitz S. Wilson M. Sahani 34 15 0 28 Sep 2021
Successor Feature Sets: Generalizing Successor Representations Across Policies Kianté Brantley Soroush Mehri Geoffrey J. Gordon OffRL 24 11 0 03 Mar 2021
A learning perspective on the emergence of abstractions: the curious case of phonemes P. Milin Benjamin V. Tucker Dagmar Divjak 11 5 0 14 Dec 2020
Biological credit assignment through dynamic inversion of feedforward networks William F. Podlaski C. Machens 13 19 0 10 Jul 2020
Deep Reinforcement Learning and its Neuroscientific Implications M. Botvinick Jane X. Wang Will Dabney Kevin J. Miller Z. Kurth-Nelson OffRL AI4CE 28 169 0 07 Jul 2020