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Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing [article]

Axel Brunnbauer, Luigi Berducci, Andreas Brandstätter, Mathias Lechner, Ramin Hasani, Daniela Rus, Radu Grosu
2022 arXiv   pre-print
World models learn behaviors in a latent imagination space to enhance the sample-efficiency of deep reinforcement learning (RL) algorithms.  ...  In particular, we set up a series of time-lap tasks for an F1TENTH racing robot, equipped with a high-dimensional LiDAR sensor, on a set of test tracks with a gradual increase in their complexity.  ...  Optimal control for autonomous racing. Autonomous racing has been an active field of research in the control community.  ... 
arXiv:2103.04909v3 fatcat:rr6tkepze5bg5c3vwzzssjhcga

Recurrent World Models Facilitate Policy Evolution [article]

David Ha, Jürgen Schmidhuber
2018 arXiv   pre-print
We also train our agent entirely inside of an environment generated by its own internal world model, and transfer this policy back into the actual environment.  ...  The world model's extracted features are fed into compact and simple policies trained by evolution, achieving state of the art results in various environments.  ...  DARLA: Improving zero-shot transfer in reinforcement learning. Preprint arXiv:1707.08475, 2017. [34] S. Hochreiter and J. Schmidhuber. Long short-term memory.  ... 
arXiv:1809.01999v1 fatcat:tdb56dhod5dbjpkxkcmydtkd5u

Towards Robust Pattern Recognition: A Review [article]

Xu-Yao Zhang, Cheng-Lin Liu, Ching Y. Suen
2020 arXiv   pre-print
However, once launched in real applications, the high-accuracy pattern recognition systems may become unstable and unreliable, due to the lack of robustness in open and changing environments.  ...  In this paper, we present a comprehensive review of research towards robust pattern recognition from the perspective of breaking three basic and implicit assumptions: closed-world assumption, independent  ...  and zero-shot learning to transfer knowledge from big-data to small-data.  ... 
arXiv:2006.06976v1 fatcat:mn35i7bmhngl5hxr3vukdcmmde

Deep Reinforcement Learning, a textbook [article]

Aske Plaat
2022 arXiv   pre-print
Impressive results were achieved in activities as diverse as autonomous driving, game playing, molecular recombination, and robotics.  ...  In some applications they have even become better than the best humans, such as in Atari, Go, poker and StarCraft.  ...  Zero-shot learning (ZSL) goes a step further than few-shot learning.  ... 
arXiv:2201.02135v2 fatcat:3icsopexerfzxa3eblpu5oal64

Release Strategies and the Social Impacts of Language Models [article]

Irene Solaiman, Miles Brundage, Jack Clark, Amanda Askell, Ariel Herbert-Voss, Jeff Wu, Alec Radford, Gretchen Krueger, Jong Wook Kim, Sarah Kreps, Miles McCain, Alex Newhouse (+3 others)
2019 arXiv   pre-print
Large language models have a range of beneficial uses: they can assist in prose, poetry, and programming; analyze dataset biases; and more.  ...  It also discusses ongoing partnership-based research and provides recommendations for better coordination and responsible publication in AI.  ...  They found this less effective than a "zero-shot" approach in their TransfBig model, a similar model to GPT-2.  ... 
arXiv:1908.09203v2 fatcat:6c2qqp32h5ax7m6xg5conmmqge

Deep Reinforcement Learning [article]

Yuxi Li
2018 arXiv   pre-print
We discuss deep reinforcement learning in an overview style. We draw a big picture, filled with details.  ...  We discuss six core elements, six important mechanisms, and twelve applications, focusing on contemporary work, and in historical contexts.  ...  Lanctot et al. (2017) observe that independent RL, in which each agent learns by interacting with the environment, oblivious to other agents, can overfit the learned policies to other agents' policies  ... 
arXiv:1810.06339v1 fatcat:kp7atz5pdbeqta352e6b3nmuhy

A survey on data‐efficient algorithms in big data era

Amina Adadi
2021 Journal of Big Data  
Specifically, the survey covers solution strategies that handle data-efficiency by (i) using non-supervised algorithms that are, by nature, more data-efficient, by (ii) creating artificially more data, by (iii) transferring  ...  less training data and in particular less human supervision.  ...  Some of the recent applications of meta-transfer learning include meta-transfer learning for learning to disentangle causal mechanisms [259] , meta-transfer learning for zero-shot super-resolution [260  ... 
doi:10.1186/s40537-021-00419-9 fatcat:v4uahsvhlzdldlxqf24bshmja4

Causal Machine Learning: A Survey and Open Problems [article]

Jean Kaddour, Aengus Lynch, Qi Liu, Matt J. Kusner, Ricardo Silva
2022 arXiv   pre-print
We systematically compare the methods in each category and point out open problems.  ...  Further, we review data-modality-specific applications in computer vision, natural language processing, and graph representation learning.  ...  To illustrate Acknowledgements: In alphabetical order, we thank Damien Teney, David Watson, Jakob Zeitler, Limor Gultchin, Phillip Lippe, Stefano Blumberg, and Tom Everitt for helpful feedback.  ... 
arXiv:2206.15475v2 fatcat:vpob7b47dnfirebraksycerieq

Deep Learning Based Pain Treatment

Tarun Jaiswal, Sushma Jaiswal
2019 International Journal of Trend in Scientific Research and Development  
in current and future assignments.  ...  Indeed, the application of machine learning for pain investigationassociated non-imaging problems has been mentioned in publications in scientific journals since 1940-2018.  ...  In this part, we first discuss the problem of Zero-and One-Shot Learning (ZSL/OSL) from deep learning viewpoint.  ... 
doi:10.31142/ijtsrd23639 fatcat:tqg4u3tkgjhmjpya67g3lnewwu

Dismantling the Master's House: Toward a Justice-Based Theory of Community Economic Development

Etienne Toussaint
2020 Michigan Journal of Law Reform  
SIBs seemingly answer the call of local government law scholars of the New Regionalists movement who advocate for governmental mechanisms that facilitate regional cooperation, address equity concerns,  ...  Washington, in conversation with more contemporary theorists of political philosophy, this Article offers an alternative conceptual framework of CED.  ...  See Michael Cooper, Officers in Bronx Fire 41 Shots, and an Unarmed Man Is Killed, N.Y.  ... 
doi:10.36646/mjlr.53.2.dismantling fatcat:k2aew5wsqrgapdsbdxq5fi4u7a

Governing lethal behavior

Ronald C. Arkin
2008 Proceedings of the 3rd international conference on Human robot interaction - HRI '08  
an autonomous robotic system so that they fall within the bounds prescribed by the Laws of War and Rules of Engagement.  ...  that incorporates ethical constraints from the onset, (3) the use of affective functions as an adaptive component in the event of unethical action, and (4) a mechanism in support of identifying and advising  ...  Walzer comments on the issue of risk-free war-making, an imaginable outcome of the introduction of lethal autonomous systems.  ... 
doi:10.1145/1349822.1349839 dblp:conf/hri/Arkin08 fatcat:ksklbtupxjeazksapkn4zzd4ki

Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review [article]

Abolfazl Razi, Xiwen Chen, Huayu Li, Hao Wang, Brendan Russo, Yan Chen, Hongbin Yu
2022 arXiv   pre-print
This paper explores Deep Learning (DL) methods that are used or have the potential to be used for traffic video analysis, emphasizing driving safety for both Autonomous Vehicles (AVs) and human-operated  ...  Besides, we investigate connections to the closely related research areas of drivers' cognition evaluation, Crowd-sourcing-based monitoring systems, Edge Computing in roadside infrastructures, Automated  ...  The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.  ... 
arXiv:2203.10939v2 fatcat:oml733wvjfh3blne4h7kg5y3du

2021 Index IEEE Robotics and Automation Letters Vol. 6

2021 IEEE Robotics and Automation Letters  
-that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021.  ...  Note that the item title is found only under the primary entry in the Author Index.  ...  ., +, LRA April 2021 1785-1792 Zero-Shot Sim-to-Real Transfer of Tactile Control Policies for Aggressive Swing-Up Manipulation.  ... 
doi:10.1109/lra.2021.3119726 fatcat:lsnerdofvveqhlv7xx7gati2xu

The Speaking Abject in Kristeva's Powers of Horror

THEA HARRINGTON
1998 Hypatia  
images and imagination.  ...  But the imagined future spectator is, in fact, the actual, present spectator.  ... 
doi:10.1111/j.1527-2001.1998.tb01355.x fatcat:cmyjnrnqjvhqfnglgmndd5dr6a

Human-in-the-Loop Methods for Data-Driven and Reinforcement Learning Systems [article]

Vinicius G. Goecks
2020 arXiv   pre-print
metrics in real-time and in real world scenarios.  ...  The theoretical foundation developed by this research opens new research paths to human-agent teaming scenarios where autonomous agents are able to learn from human teammates and adapt to mission performance  ...  racing game [40] .  ... 
arXiv:2008.13221v1 fatcat:aofoenmwcvckvagbttrkskevty
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