IEEE

Sim-to-Real Transfer in Reinforcement Learning for Maneuver Control of a Variable-Pitch MAV

Abstract: Reinforcement learning (RL) algorithms can enable high-maneuverability in unmanned aerial vehicles (MAVs), but transferring them from simulation to real-world use is challenging.
Semiconductor Engineering

A New Era For Co-Processing

Processor architectures are evolving faster than ever, but they still lag the pace of AI development. Chip architects must ...
IEEE

Transfer Reinforcement Learning Controller using Gaussian Reward Function for DC-DC Switching Converters with Constant Power Load

Abstract: This paper presents a model-free neural network controller design methodology based on transfer reinforcement learning (TRL) with Gaussian reward shaping, implemented and validated on a Buck ...

Transcription factors form continuous 'circuit' that regulates T-cell exhaustion

Scientists have discovered how two transcription factors form a reciprocal regulatory circuit that controls T-cell exhaustion ...