#reinforcement — Public Fediverse posts

A quotation from Eric Hoffer

The truth seems to be that propaganda on its own cannot force its way into unwilling minds; neither can it inculcate something wholly new; nor can it keep people persuaded once they have ceased to believe. It penetrates only into minds already open, and rather than instill opinion it articulates and justifies opinions already present in the minds of its recipients. The gifted propagandist brings to a boil ideas and passions already simmering in the minds of his hearers. he echoes their innermost feelings. Where opinion is not coerced, people can be made to believe only in what they already “know.”

Eric Hoffer (1902-1983) American writer, philosopher, longshoreman
True Believer: Thoughts on the Nature of Mass Movements, Part 3, ch. 14, § 83 (3.14.83) (1951)

More about this quote: wist.info/hoffer-eric/11263/

#quote #quotes #quotation #qotd #erichoffer #agitprop #belief #confirmation #confirmationbias #conviction #disinformation #fear #ideas #justification #opinion #passion #predisposition #prejudice #propaganda #reinforcement #truebeliever

A quotation from Eric Hoffer

The truth seems to be that propaganda on its own cannot force its way into unwilling minds; neither can it inculcate something wholly new; nor can it keep people persuaded once they have ceased to believe. It penetrates only into minds already open, and rather than instill opinion it articulates and justifies opinions already present in the minds of its recipients. The gifted propagandist brings to a boil ideas and passions already simmering in the minds of his hearers. he echoes their innermost feelings. Where opinion is not coerced, people can be made to believe only in what they already “know.”

Eric Hoffer (1902-1983) American writer, philosopher, longshoreman
True Believer: Thoughts on the Nature of Mass Movements, Part 3, ch. 14, § 83 (3.14.83) (1951)

More about this quote: wist.info/hoffer-eric/11263/

#quote #quotes #quotation #qotd #erichoffer #agitprop #belief #confirmation #confirmationbias #conviction #disinformation #fear #ideas #justification #opinion #passion #predisposition #prejudice #propaganda #reinforcement #truebeliever

A quotation from Mignon McLaughlin

Most of us would try to be noble, if we just had a claque we could depend on.

Mignon McLaughlin (1913-1983) American journalist and author
The Neurotic’s Notebook, ch. 6 (1963)

More info about this quote: wist.info/mclaughlin-mignon/80…

#quote #quotes #quotation #qotd #mignonmclaughlin #admiration #applause #audience #nobility #recognition #reinforcement #virtue #supporters

A quotation from Samuel Johnson

To be of no church is dangerous. Religion, of which the rewards are distant, and which is animated only by faith and hope, will glide by degrees out of the mind unless it be invigorated and reimpressed by external ordinances, by stated calls to worship, and the salutary influence of example.

Samuel Johnson (1709-1784) English writer, lexicographer, critic
Lives of the Most Eminent English Poets, “Milton” (1781)

Sourcing, notes: wist.info/johnson-samuel/21120…

#quote #quotes #quotation #qotd #samueljohnson #church #churchgoing #community #example #congregation #organizedreligion #reinforcement #religion #worship #mutualsupport

👨‍💻🤖 Oh joy, another #GitHub #repository boasting about implementing Sutton and Barto's RL methods! Because who doesn't want to navigate through yet another maze of #AI #buzzwords and autopilot #code writing? 🚀🎉
https://github.com/ivanbelenky/RL #AI #Research #Reinforcement #Learning #Tech #Trends #HackerNews #ngated

👨‍💻🤖 Oh joy, another #GitHub #repository boasting about implementing Sutton and Barto's RL methods! Because who doesn't want to navigate through yet another maze of #AI #buzzwords and autopilot #code writing? 🚀🎉
https://github.com/ivanbelenky/RL #AI #Research #Reinforcement #Learning #Tech #Trends #HackerNews #ngated

Plinked out a new song on the #guitar last night.
Kinda Pink Floyd-ish.. needs a little more work and then to the mixer so maybe on my next days off I'll have another #song to post.

(this post to make me do it)

#music
#reinforcement

Plinked out a new song on the #guitar last night.
Kinda Pink Floyd-ish.. needs a little more work and then to the mixer so maybe on my next days off I'll have another #song to post.

(this post to make me do it)

#music
#reinforcement

Improved and Open Source: Non-Planar Infill for FDM https://hackaday.com/2025/04/23/improved-and-open-source-non-planar-infill-for-fdm/ #post-processing #3dPrinterhacks #SoftwareHacks #reinforcement #bambustudio #PrusaSlicer #3dprinting #interlayer #orcaslicer #Bambulab #g-code #python #prusa #sine #FDM

Improved and Open Source: Non-Planar Infill for FDM https://hackaday.com/2025/04/23/improved-and-open-source-non-planar-infill-for-fdm/ #post-processing #3dPrinterhacks #SoftwareHacks #reinforcement #bambustudio #PrusaSlicer #3dprinting #interlayer #orcaslicer #Bambulab #g-code #python #prusa #sine #FDM

'Learning Global Nash Equilibrium in Team Competitive Games with Generalized Fictitious Cross-Play', by Zelai Xu, Chao Yu, Yancheng Liang, Yi Wu, Yu Wang.

http://jmlr.org/papers/v26/24-1503.html

#reinforcement #games #play

'Learning Global Nash Equilibrium in Team Competitive Games with Generalized Fictitious Cross-Play', by Zelai Xu, Chao Yu, Yancheng Liang, Yi Wu, Yu Wang.

http://jmlr.org/papers/v26/24-1503.html

#reinforcement #games #play

#Zoomposium with Dr. #Patrick #Krauß: Building instructions for #artificial #consciousness

Transferring the various stages of Damasio's theory of consciousness 1:1 into concrete #schematics for #deep #learning. To this end, strategies such as #feed-forward connections, #recurrent #connections in the form of #reinforcement learning and #unsupervised learning are used to simulate the #biological #processes of the #neuronal #networks.

More at: https://philosophies.de/index.php/2023/10/24/bauanleitung-kuenstliches-bewusstsein/

or: https://youtu.be/rXamzyoggCo

#Zoomposium mit Dr. #Patrick #Krauß: „Bauanleitung #Künstliches #Bewusstsein“

Die verschiedenen Stufen von Damasios Theorie des Bewusstseins 1:1 in konkrete #Schaltpläne für ein #Deep #Learning zu überführen. Hierzu werden Strategien wie #feed-forward connections, #recurrent #connections in Form von #reinforcement learning und #unsupervised learning angewendet, um die #biologischen #Prozesse der #neuronalen #Netze zu simulieren.

Mehr auf: https://philosophies.de/index.php/2023/10/24/bauanleitung-kuenstliches-bewusstsein/

oder: https://youtu.be/rXamzyoggCo

'Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of Agents', by Marco Pleines, Matthias Pallasch, Frank Zimmer, Mike Preuss.

http://jmlr.org/papers/v26/24-0043.html

#memory #reinforcement #recurrent

'Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of Agents', by Marco Pleines, Matthias Pallasch, Frank Zimmer, Mike Preuss.

http://jmlr.org/papers/v26/24-0043.html

#memory #reinforcement #recurrent

'A New, Physics-Informed Continuous-Time Reinforcement Learning Algorithm with Performance Guarantees', by Brent A. Wallace, Jennie Si.

http://jmlr.org/papers/v25/24-0017.html

#control #reinforcement #exploration

'A New, Physics-Informed Continuous-Time Reinforcement Learning Algorithm with Performance Guarantees', by Brent A. Wallace, Jennie Si.

http://jmlr.org/papers/v25/24-0017.html

#control #reinforcement #exploration

'Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach', by Shuang Qiu, Boxiang Lyu, Qinglin Meng, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan.

http://jmlr.org/papers/v25/23-0159.html

#reinforcement #reward #dynamic

'Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach', by Shuang Qiu, Boxiang Lyu, Qinglin Meng, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan.

http://jmlr.org/papers/v25/23-0159.html

#reinforcement #reward #dynamic

'Learning Regularized Graphon Mean-Field Games with Unknown Graphons', by Fengzhuo Zhang, Vincent Y. F. Tan, Zhaoran Wang, Zhuoran Yang.

http://jmlr.org/papers/v25/23-1409.html

#graphon #graphons #reinforcement

'Learning Regularized Graphon Mean-Field Games with Unknown Graphons', by Fengzhuo Zhang, Vincent Y. F. Tan, Zhaoran Wang, Zhuoran Yang.

http://jmlr.org/papers/v25/23-1409.html

#graphon #graphons #reinforcement

#ITByte: Deep Q-learning is a #Reinforcement #Learning technique that combines Q-Learning and deep neural networks. It aims to help agents learn optimal actions in complex environments.

Here is a brief overview of Q-Learning and Deep Q-Learning.

https://knowledgezone.co.in/posts/Deep-Q-Learning-658274c3ba2d4885a8a72691

#ITByte: Deep Q-learning is a #Reinforcement #Learning technique that combines Q-Learning and deep neural networks. It aims to help agents learn optimal actions in complex environments.

Here is a brief overview of Q-Learning and Deep Q-Learning.

https://knowledgezone.co.in/posts/Deep-Q-Learning-658274c3ba2d4885a8a72691

'Sample Complexity of Variance-Reduced Distributionally Robust Q-Learning', by Shengbo Wang, Nian Si, Jose Blanchet, Zhengyuan Zhou.

http://jmlr.org/papers/v25/23-0526.html

#robust #efficiently #reinforcement

'Sample Complexity of Variance-Reduced Distributionally Robust Q-Learning', by Shengbo Wang, Nian Si, Jose Blanchet, Zhengyuan Zhou.

http://jmlr.org/papers/v25/23-0526.html

#robust #efficiently #reinforcement

'Goal-Space Planning with Subgoal Models', by Chunlok Lo et al.

http://jmlr.org/papers/v25/24-0040.html

#planning #reinforcement #abstraction

'Goal-Space Planning with Subgoal Models', by Chunlok Lo et al.

http://jmlr.org/papers/v25/24-0040.html

#planning #reinforcement #abstraction

'Empirical Design in Reinforcement Learning', by Andrew Patterson, Samuel Neumann, Martha White, Adam White.

http://jmlr.org/papers/v25/23-0183.html

#reinforcement #experiments #hyperparameters

'Empirical Design in Reinforcement Learning', by Andrew Patterson, Samuel Neumann, Martha White, Adam White.

http://jmlr.org/papers/v25/23-0183.html

#reinforcement #experiments #hyperparameters

'Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning', by Luofeng Liao, Zuyue Fu, Zhuoran Yang, Yixin Wang, Dingli Ma, Mladen Kolar, Zhaoran Wang.

http://jmlr.org/papers/v25/22-0965.html

#reinforcement #unobserved #causal

'Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning', by Luofeng Liao, Zuyue Fu, Zhuoran Yang, Yixin Wang, Dingli Ma, Mladen Kolar, Zhaoran Wang.

http://jmlr.org/papers/v25/22-0965.html

#reinforcement #unobserved #causal

'Value-Distributional Model-Based Reinforcement Learning', by Carlos E. Luis, Alessandro G. Bottero, Julia Vinogradska, Felix Berkenkamp, Jan Peters.

http://jmlr.org/papers/v25/23-0913.html

#reinforcement #quantile #learns

'Value-Distributional Model-Based Reinforcement Learning', by Carlos E. Luis, Alessandro G. Bottero, Julia Vinogradska, Felix Berkenkamp, Jan Peters.

http://jmlr.org/papers/v25/23-0913.html

#reinforcement #quantile #learns

'Pearl: A Production-Ready Reinforcement Learning Agent', by Zheqing Zhu et al.

http://jmlr.org/papers/v25/24-0196.html

#reinforcement #rl #agent

'Pearl: A Production-Ready Reinforcement Learning Agent', by Zheqing Zhu et al.

http://jmlr.org/papers/v25/24-0196.html

#reinforcement #rl #agent

'Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL)', by Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri.

http://jmlr.org/papers/v25/22-0956.html

#reinforcement #maximization #constraints

'Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL)', by Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri.

http://jmlr.org/papers/v25/22-0956.html

#reinforcement #maximization #constraints

✨Meet Kai Cui, a PhD student at #TUDarmstadt. His research focuses on #multi-agent #reinforcement learning, Mean Field Games and their application. At #SoftwareCampus he's collaborating with #Huawei & currently working on mean-field games for solving large-scale route planning problems in the context of #operations #research.

"Personally, I was always fascinated by the increasing and large-scale automation or optimization processes."

Click here, to find out more:
https://softwarecampus.de/teilnehmer/kai-cui/

'Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity', by Laixi Shi, Yuejie Chi.

http://jmlr.org/papers/v25/22-1482.html

#robustness #reinforcement #uncertainty

'An Analysis of Quantile Temporal-Difference Learning', by Mark Rowland et al.

http://jmlr.org/papers/v25/23-0154.html

#quantile #reinforcement #stochastic

'Robust Black-Box Optimization for Stochastic Search and Episodic Reinforcement Learning', by Maximilian Hüttenrauch, Gerhard Neumann.

http://jmlr.org/papers/v25/22-0564.html

#reinforcement #optimizers #optimizes

'Policy Gradient Methods in the Presence of Symmetries and State Abstractions', by Prakash Panangaden, Sahand Rezaei-Shoshtari, Rosie Zhao, David Meger, Doina Precup.

http://jmlr.org/papers/v25/23-1415.html

#reinforcement #abstraction #abstractions

'Off-Policy Action Anticipation in Multi-Agent Reinforcement Learning', by Ariyan Bighashdel, Daan de Geus, Pavol Jancura, Gijs Dubbelman.

http://jmlr.org/papers/v25/23-0413.html

#reinforcement #games #anticipation

'On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control', by Amrit Singh Bedi, Anjaly Parayil, Junyu Zhang, Mengdi Wang, Alec Koppel.

http://jmlr.org/papers/v25/21-1343.html

#reinforcement #optimality #exploration

'Heterogeneous-Agent Reinforcement Learning', by Yifan Zhong, Jakub Grudzien Kuba, Xidong Feng, Siyi Hu, Jiaming Ji, Yaodong Yang.

http://jmlr.org/papers/v25/23-0488.html

#reinforcement #agents #mirror