FIELD NOTES TOPIC
rl agent
2 notes, newest first.
ADORN: Adaptive Drift handling for Open RAN using Reinforcement Learning
Researchers propose a Q-learning based adaptive retraining approach for Open Radio Access Networks (O-RAN) using Reinforcement Learning (RL) to address the issue of drift that degrades the performance of AI/ML models…
SolarChain-Eval: A Physics-Constrained Benchmark for Trustworthy Economic Agents in Decentralized Energy Markets
The authors propose SolarChain-Eval, a benchmark for evaluating the trustworthiness of autonomous agents in decentralized energy markets. It assesses market utility, physical safety, slippage, action smoothness…
