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Reinforcement Learning

Reinforcement Learning news tracks updates, releases, guides, and real uses for teams. We explain ideas in plain terms and show. steps you can apply. Follow tests, results, and simple tips. Learn trade-offs, quick fixes, and ways to pick tools that fit your needs.

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cuML profiling tools arrive in RAPIDS 25.08 update
Nov 3, 20255 min read

cuML profiling tools arrive in RAPIDS 25.08 update

NVIDIA introduced cuML profiling tools in the RAPIDS 25.08 release, giving developers clearer insight into accelerated machine learning performance. Alongside the data science update, Isaac Lab 2.3 delivers whole-body robot control, richer teleoperation, and new evaluation workflows. Together, these updates target faster iteration from data prep to deployment. cuML profiling tools: what’s new The latest […]

#Federated Learning#Quantization#Reinforcement Learning
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Neural Robot Dynamics hits 0.1% reward error at CoRL
Nov 2, 20255 min read

Neural Robot Dynamics hits 0.1% reward error at CoRL

NVIDIA Research unveiled Neural Robot Dynamics at CoRL 2025, reporting a sub‑0.1% accumulated reward error on a Franka reach policy. The team positions the technique as a step toward reliable sim-to-real transfer. Early results suggest stronger generalization and faster fine-tuning in real environments. Neural Robot Dynamics explained Moreover, Neural Robot Dynamics, or NeRD, uses learned […]

#Federated Learning#Quantization#Reinforcement Learning
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ICML 2024 highlights: trends shaping ML research now
Oct 31, 20255 min read

ICML 2024 highlights: trends shaping ML research now

ICML 2024 highlights key shifts in machine learning research, with state space models, efficient fine-tuning, and better tooling taking center stage. The conference wrapped with dense technical tracks and lively hallway debates in Vienna. Researchers and practitioners left with clear signals about what will matter next. ICML 2024 highlights: methods and tools Across papers and […]

#Federated Learning#Quantization#Reinforcement Learning
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Speculative decoding leads new machine learning updates
Oct 30, 20254 min read

Speculative decoding leads new machine learning updates

Speculative decoding is moving from research to production across machine learning stacks, signaling a shift in how teams ship faster models. Efficiency now anchors the latest machine learning updates, as organizations pursue lower latency without sacrificing quality. Vendors and lab teams emphasize end-to-end throughput. Therefore, they combine inference tricks, routing strategies, and compact weights. Moreover, […]

#Federated Learning#Quantization#Reinforcement Learning
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Quasi-moon detection AI gains spotlight after PN7 find
Oct 27, 20255 min read

Quasi-moon detection AI gains spotlight after PN7 find

Astronomers confirmed Earth’s latest quasi-moon, 2025 PN7, putting quasi-moon detection AI firmly in the spotlight. The Pan-STARRS 1 telescope flagged the small Apollo-type object in August, after brightness measurements revealed its path. Early analyses show a 1:1 resonance with Earth that will persist for decades. Moreover, The discovery underscores how survey pipelines sift torrents of […]

#Federated Learning#Quantization#Reinforcement Learning
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China AI self-reliance plan targets chips and research
Oct 23, 20256 min read

China AI self-reliance plan targets chips and research

China released a new five-year plan proposal that prioritizes technological independence in semiconductors and artificial intelligence. The move places China AI self-reliance at the center of economic and research policy, signaling a shift away from foreign technology dependencies. China AI self-reliance roadmap Moreover, The proposal emphasizes self-sufficiency across core technologies, according to coverage that highlights […]

#Federated Learning#Quantization#Reinforcement Learning
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Neural Robot Dynamics debuts, reshaping robot learning
Oct 22, 20256 min read

Neural Robot Dynamics debuts, reshaping robot learning

NVIDIA Research introduced Neural Robot Dynamics at CoRL 2025, signaling a notable shift in how machine learning models power robot control and transfer to the real world. The announcement arrived alongside advances in teleoperated data collection and whole-body control, which together point to faster development cycles and safer deployment. Neural Robot Dynamics at CoRL 2025 […]

#Federated Learning#Quantization#Reinforcement Learning
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NVIDIA Dexplore debuts as robot learning breakthrough
Oct 20, 20255 min read

NVIDIA Dexplore debuts as robot learning breakthrough

NVIDIA unveiled three neural advances for robot learning at CoRL 2025, led by NVIDIA Dexplore for smarter exploration. Together with NeRD and VT‑Refine, the work targets simulation fidelity, skill discovery, and visuo‑tactile precision in real settings. NVIDIA Dexplore drives smarter exploration Moreover, NVIDIA Dexplore aims to reduce manual supervision by improving how robots explore and […]

#Federated Learning#Quantization#Reinforcement Learning
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Visuo-tactile robot learning boosts assembly success
Oct 19, 20251 min read

Visuo-tactile robot learning boosts assembly success

NVIDIA detailed advances in visuo-tactile robot learning at CoRL 2025, citing sizable gains in bimanual assembly success. Meanwhile, Facebook expanded an opt-in AI feature that scans camera rolls to suggest edits and collages. Together, these moves mark notable machine learning updates that reshape robotics performance and consumer AI experiences. Visuo-tactile robot learning advances Moreover, At […]

#Federated Learning#Quantization#Reinforcement Learning
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