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Experiment, Reinforcement learning, Cloud computing, Science, Machine learning, Operations research
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Soft-body dynamics induces energy efficiency in undulatory swimming: A deep learning study
Recently, soft robotics has gained considerable attention as it promises numerous applications thanks to unique features originating from the physical compliance of the robots. Biomimetic ...
Neural Episodic Control with State Abstraction
01/27/23 - Existing Deep Reinforcement Learning (DRL) algorithms suffer from sample inefficiency. Generally, episodic control-based approache...
Recent Advances in Deep Learning for Routing Problems
We characterize recent advances in deep learning for routing problems via a unified Neural Combinatorial Optimization pipeline and provide new directions to stimulate future research.
Behaviour Suite for Reinforcement Learning (bsuite)
bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent - deepmind/bsuite
Ant colony optimization algorithms
favoring the probability of selecting the shortest edges with a large amount of pheromone); While building a solution, ants change the pheromone level of the edges they are selecting by ...
Scaling Kubernetes to 7,500 nodes
Weâve scaled Kubernetes clusters to 7,500 nodes, producing a scalable infrastructure for large models like GPT-3, CLIP, and DALL¡E, but also for rapid small-scale iterative research such ...
A STEM love story! Read an exclusive excerpt of Ali Hazelwood's next novel, Love, Theoretically
Read an exclusive excerpt of Ali Hazelwood's STEMinist rom-com, 'Love, Theoretically.'
Proceedings of Machine Learning Research
Proceedings of The 6th Conference on Robot Learning Held in Auckland, New Zealand on 14-18 December 2022 Published as Volume 205 by the Proceedings of Machine Learning Research on 06 March ...
The case for Reality-centric AI
Introduction We are proposing today a new agenda to reorientate Artificial Intelligence (AI) towards the complexities of the real world. We set out the reasons for the agenda, and its ...
Introducing âď¸ AI vs. AI âď¸ a deep reinforcement learning multi-agents competition system
Weâre on a journey to advance and democratize artificial intelligence through open source and open science.
A New Deep Reinforcement Learning (DRL) Framework can React to Attackers in a Simulated Environment and Block 95% of Cyberattacks Before They Escalate
Cybersecurity defenders must dynamically adapt their techniques and tactics as technology develops and the level of complexity in a system surges. As machine learning (ML) and artificial ...
Autumn: Causal Discovery Through Program Synthesis
Humans develop theories of how the world works through a process of observation and experimentation. This process is mediated by a number of cognitive tools, such as the ability to infer ...
Microsoft Power Platform Integrates ChatGPT: What This Means
Microsoft recently announced it integrated ChatGPT into its low-code Power Platform developer suite. What does this mean for the industry?
Forget the hybrid cloud; itâs time for the confidential cloud
The hybrid cloud needs additional security protections to work; at OC3 industry leaders discuss how the confidential cloud can help.
Introduction: Reinforcement Learning with OpenAI Gym
Understand all the basic concepts and test your algorithms in OpenAI gym. So, get started with a quick demo for hands on experience.
Mask3D: Pre-training 2D Vision Transformers by Learning Masked 3D Priors
Visual Computing & Artificial Intelligence Lab at the Technical University of Munich headed by Prof. Matthias NieĂner
New Library Updates in PyTorch 2.0
An open source machine learning framework that accelerates the path from research prototyping to production deployment.