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| | bostondynamics.com
5.0 parsecs away

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| | We've integrated reinforcement learning into Spot's locomotion to enable the robot to handle more and more real-world variability.
| | www.exxactcorp.com
2.1 parsecs away

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| | [AI summary] The text provides an in-depth overview of Deep Reinforcement Learning (DRL), focusing on its key components, challenges, and applications. It explains how DRL combines reinforcement learning (RL) with deep learning to handle complex decision-making tasks. The article discusses the limitations of traditional Q-learning, such as the need for a Q-table and the issue of unstable target values. It introduces Deep Q-Networks (DQNs) as a solution, highlighting the use of experience replay and target networks to stabilize training. Additionally, the text highlights real-world applications like AlphaGo, Atari game playing, and oil and gas industry use cases. It concludes by emphasizing DRL's potential for scalable, human-compatible AI systems and its rol...
| | torch.ch
3.6 parsecs away

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| | Torch is a scientific computing framework for LuaJIT.
| | www.networkworld.com
18.2 parsecs away

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| Access to one million purpose-built AI accelerators, among other things, is part of the deal.