Tech Times

Hidden AI Capabilities Can Be Made Cryptographically Undetectable, NeurIPS Paper Proves

AI safety evaluation faces a new mathematical limit: a NeurIPS 2026 paper proves that anyone with access to model weights can ...
BIOENGINEER

AI Learns to Explain Why Data Goes Wrong, One Feature at a Time

Researchers at the University of Calabria have developed RLAX, a reinforcement learning framework that identifies compact, ...

3 Essential Books for Learning Deep Learning with Keras

Introduction A few years ago, when I was tasked with an in-house PoC for image classification, I took sample code for ...
BIOENGINEER

Smarter Baselines Help Drones Stay on Course When Wind, Noise and Delay Strike

A new gradient-decoupled privileged baseline method lifts simulated drone navigation success to 96.47 percent under ...

U.S. Food and Drug Administration Approves Expanded Indication for Bristol Myers Squibb’s CAMZYOS® (mavacamten) for the Treatment of Symptomatic Obstructive Hypertrophic ...

U.S. FDA Approves Expanded Indication for BMS’s CAMZYOS for the Treatment of Symptomatic oHCM in Adults and Pediatric Patients ...
beinsure

Gradient AI expands Renewal Analytics for group health insurers

Gradient AI expanded Renewal Analytics with IBNR adjustments, peer benchmarking, termination modeling, risk scoring and automated PDF reporting ...
eLife

Policy-Gradient Reinforcement Learning as a General Theory of Practice-Based Motor Skill Learning

This valuable computational study presents a conceptually simple and biologically plausible reinforcement-learning framework for motor learning based on policy-gradient methods. The evidence ...
bilibili

[快速研读] Policy Gradient Methods for Reinforcement Learning with Function

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marktechpost

Off-Policy Reinforcement Learning RL with KL Divergence Yields Superior Reasoning in Large Language Models

Policy gradient methods have significantly advanced the reasoning capabilities of LLMs, particularly through RL. A key tool in stabilizing these methods is Kullback-Leibler (KL) regularization, which ...
blog.csdn

策略梯度(policy gradient)直观理解

结合reinforce算法又了解了一下策略梯度算法，其实感觉这个名字很有误导性，从强化学习来看可以有value-based method和policy-based method。Q-learning和DQN这些算法都是学习价值函数，基于价值函数选取 ...