Continuous Control
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Related Articles from SNS
Differentiable Weightless Controllers: Learning Logic Circuits for Continuous Control
arXiv:2512.01467v2 Announce Type: replace Abstract: Controlling autonomous systems under real-world conditions often requires policies that can be evaluated with low latency and minimal energy consumption. Unfortunately, these conditions are at odds with the use of high-precision deep neural networks as controllers. In this work, we introduce Differentiable Weightless Controllers (DWCs), a symbolic-differentiable architecture that learns flexible, non-linear, yet highly efficient control...
ZAPS-DA: Zero-Phase Action Policy Smoothing with Decoupled Actor for Continuous Control in Reinforcement Learning
arXiv:2605.30612v1 Announce Type: new Abstract: Continuous control policies trained with off-policy reinforcement learning frequently exhibit high-frequency action jitter, rendering direct deployment on physical actuators impractical. Post-hoc filtering attenuates jitter but introduces phase lag; embedding smoothness penalties in the actor's loss couples them with the RL gradient and conflates reward regression with over-aggressive smoothing. We present ZAPS-DA, a framework that reduces...
Error Amplification Limits ANN-to-SNN Conversion in Continuous Control
arXiv:2601.21778v2 Announce Type: replace Abstract: Spiking Neural Networks (SNNs) can achieve competitive performance by converting already existing well-trained Artificial Neural Networks (ANNs), avoiding further costly training. This property is particularly attractive in Reinforcement Learning (RL), where training through environment interaction is expensive and potentially unsafe. However, existing conversion methods perform poorly in continuous control, where suitable baselines are...
Learning Quantized Continuous Controllers for Integer Hardware
arXiv:2511.07046v4 Announce Type: replace Abstract: Deploying continuous-control reinforcement learning policies on embedded hardware requires meeting tight latency and power budgets. Small FPGAs can deliver these, but only if costly floating-point pipelines are avoided. We study quantization-aware training (QAT) of policies for integer inference and we present a learning-to-hardware pipeline that automatically selects low-bit policies and synthesizes them to an Artix-7 FPGA.
Training-Free Continuous Bitrate Control for Scalable Image Coding for Humans and Machines
Announce Type: cross Abstract: Continuous variable-rate compression is highly demanded in real-world applications, but remains underexplored in scalable image coding for humans and machines. In this paper, we propose a training-free variable-rate scalable image coding framework. By adjusting quantization steps based on predicted scale values, the proposed method achieves continuous bitrate control while preserving high-scale information in the machine and enhancement layers.
Reflex: Reinforcement Learning with Reflection Symmetry Exploitation in State-Based Continuous Control
Announce Type: replace Abstract: Reinforcement learning has long struggled with poor sample efficiency. One promising approach to mitigate this problem is leveraging group-invariant Markov Decision Processes ($G$-invariant MDPs). Existing works in this direction have primarily focused on image-based RL and rotational symmetry such as $\mathrm{SO(2)}$, leaving state-based RL and reflection symmetry largely underexplored.
Self-Optimizing Control of Continuous Processes Based on Reinforcement Learning
new Abstract: This paper addresses the Self-Optimizing Control (SOC) problem in industrial continuous processes and proposes a Reinforcement-Learning (RL)-based SOC approach to improve dynamic performance under high-frequency disturbances. In the proposed framework, the SOC controlled variable structure is embedded in the Actor network, and reward functions are designed based on economic indicators. Through interaction with the environment, the RL agent optimizes controlled variables while...
FAA pushing to hire thousands of new air traffic controllers as airport delays continue after shutdown
FAA pushing to hire thousands of new air traffic controllers as airport delays continue after shutdown Latest recruitment drive comes amid ongoing disruption at domestic air travel hubs and staff shortages - Bookmark - CommentsGo to comments The Federal Aviation Administration is looking to hire thousands of new air traffic controllers to tackle ongoing delays at domestic airports and staff shortages. The FAA’s 2026 Air Traffic Controller Workforce Plan pledges to hire 2,200 new controllers...
Wife of former Olympian feared she would ‘end up dead’ if she didn’t leave marriage, jury told
Wife of former Olympian feared she would ‘end up dead’ if she didn’t leave marriage, jury told Curtis Robb, 54, is alleged to have repeatedly or continuously engaged in controlling and coercive behaviour towards Sarah Robb between December 2015 and August 2023 - Bookmark The GP wife of a former Olympian feared she was “going to end up dead” if she did not leave their marriage, a jury has heard. Curtis Robb, 54, is alleged to have repeatedly or continuously engaged in controlling and coercive...
Continuous Reasoning for Vision-Language-Action
Announce Type: replace Abstract: Natural language is a powerful reasoning medium for language and vision-language models, but it is mismatched to the granularity of continuous control. Text and explicit subgoals operate at task-level granularity, whereas vision-language-action (VLA) policies must choose actions at a much finer temporal scale; a single reasoning step can therefore span many action chunks while remaining only weakly coupled to the action needed now. This suggests a different...