Adaptive Human-Computer Interaction Strategies Through Reinforcement Learning in Complex
arxiv.orgยท20h
๐Ÿค–AI
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Scalable Multi-Modal Feedback Loop for Constrained Reinforcement Learning in Robotic Grasping
dev.toยท23hยท
Discuss: DEV
๐Ÿค–AI
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Gated DeltaNet (Linear Attention variant in Qwen3-Next and Kimi Linear)
sebastianraschka.comยท22hยท
Discuss: r/LLM
๐Ÿ”€Transformers
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Introducing Project Telos: Modeling, Measuring, and Intervening on Goal-directed Behavior in AI Systems
lesswrong.comยท3d
๐Ÿค–AI
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Agentic Entropy-Balanced Policy Optimization
paperium.netยท2hยท
Discuss: DEV
๐Ÿค–AI
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Trust Your Intuition in the Face of Uncertainty
lindynewsletter.beehiiv.comยท5hยท
Discuss: Hacker News
๐Ÿ”€Transformers
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Dynamic Resource Allocation in Vertiport Battery Swapping via Reinforcement Learning
dev.toยท4hยท
Discuss: DEV
๐Ÿค–AI
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Connectivity Structure and Dynamics of Nonlinear Recurrent Neural Networks
journals.aps.orgยท1h
๐Ÿค–AI
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From Parrot to Partner - How Reinforcement Learning Taught LLMs to Talk Like Humans
dev.toยท1dยท
Discuss: DEV
๐Ÿ”€Transformers
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Real-Time Process Optimization via Adaptive Bayesian Reinforcement Learning and Multi-Objective Genetic Algorithms
dev.toยท1hยท
Discuss: DEV
๐Ÿค–AI
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ASAN: A conceptual architecture for a self-creating, energy-efficient AI system
github.comยท11hยท
Discuss: Hacker News
๐ŸŒDistributed Systems
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Writing an LLM from scratch, part 27 โ€“ what's left, and what's next?
gilesthomas.comยท23mยท
Discuss: Hacker News
๐Ÿค–AI
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original โ†—
allendowney.comยท1h
โšกQuery Optimization
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When slowing down pays off: Physicists reveal surprising insights from taxi drivers
phys.orgยท4h
โšกQuery Optimization
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A Practitioner's Guide to Kolmogorov-Arnold Networks
arxiviq.substack.comยท1dยท
Discuss: Substack
๐ŸงญVector Databases
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Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning (Paper Review)
pub.towardsai.netยท1d
๐Ÿ”€Transformers
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LinEAS: End-to-end Learning of Activation Steering with a Distributional Loss
machinelearning.apple.comยท1d
๐Ÿ”€Transformers
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When AI Trading Agents Compete: Adverse Selection of Meta-Orders by Reinforcement Learning-Based Market Making
arxiv.orgยท20h
๐Ÿค–AI
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