IEEE14d
Reinforcement Learning Based Online Algorithm for Near-Field Time-Varying IRS Phase Shift Optimization: System Evolution Perspective
Abstract: This paper proposes a reinforcement learning (RL ... Utilizing the geometric properties of the unitary evolution operator, we define a metric space where the geodesic-based distance function ...
IEEE27d
Diffusion-Based Reinforcement Learning for Cooperative Offloading and Resource Allocation in Multi-UAV Assisted Edge-Enabled Metaverse
Simultaneously, the emergence of AI-generated content (AIGC), exemplified by ChatGPT, has revolutionized the mean of content creation in the ... with the robust decision-making abilities of ...
Variety29d
‘Zero Day’ Star Lizzy Caplan on That Big Finale Twist, Sparring With Robert De Niro and the Enduring Legacy of ‘Mean Girls’
That was the part that I found the most compelling, but also very challenging. I mean, there were 15 things going through Alex’s head in every beat of this show. She also was holding onto her ...
circuitdigest.com29d
Advancing Robot Bikes with Reinforcement Learning
Reinforcement learning (RL) is playing a key role in helping robots adapt to complex situations and perform better. Unlike traditional self-balancing bikes, this UMV does not use a gyroscope for ...
GitHub1mon
TRL - Transformer Reinforcement Learning
TRL is a cutting-edge library designed for post-training foundation models using advanced techniques like Supervised Fine-Tuning (SFT), Proximal Policy Optimization (PPO), and Direct Preference ...
GitHub1y
d3rlpy: An offline deep reinforcement learning library
d3rlpy is an offline deep reinforcement learning library for practitioners and researchers. v2.x.x introduces breaking changes. If you still stick to v1.x.x, please ...
Investopedia2y
Standard Error of the Mean vs. Standard Deviation
Job B is gig work, where you might earn $7,500 one month and $2,000 the next. They have the same average but mean something very different when you are planning your rent or mortgage payments.