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Found 5 papers, 1 papers with code
Principal Trade-off Analysis
We demonstrate the validity of PTA on a quartet of games (Kuhn poker, RPS+2, Blotto, and Pokemon).
Soft Actor-Critic with Inhibitory Networks for Faster Retraining
Moreover, when retraining, there is an intrinsic conflict between exploiting what has already been learned and exploring new skills.
Ethics, Rules of Engagement, and AI: Neural Narrative Mapping Using Large Transformer Language Models
This paper discusses the problem of mapping information spaces in general, and then presents a concrete implementation of this concept in the context of OpenAI's GPT-3 language model for determining if a subordinate is following a commander's intent in a high-risk situation.
A Photonic-Circuits-Inspired Compact Network: Toward Real-Time Wireless Signal Classification at the Edge
In addition, compact and integratable hardware platforms which can implement ML models at the chip scale will find much broader application to wireless communication networks.
Hierarchical Reinforcement Learning for Air-to-Air Combat
Artificial Intelligence (AI) is becoming a critical component in the defense industry, as recently demonstrated by DARPA`s AlphaDogfight Trials (ADT).
Hierarchical Reinforcement Learning
reinforcement-learning
+1
