RL compute
Type: Concept
As of November 2026, RL compute has been mentioned in one podcast episode on Wes and Dylan (Jul 2025).
Proximal policy optimization (PPO) is a reinforcement learning (RL) algorithm for training an intelligent agent. Specifically, it is a policy gradient method, often used for deep RL when the policy network is very large.
| Mentioned in | 1 episode on 1 podcast (as of November 2026) |
|---|---|
| First heard | Jul 2025 on Wes and Dylan |
Who talks about RL compute on podcasts?
RL compute came up; the most recent mention was Jul 2025 on Wes and Dylan.
What is RL compute mentioned alongside?
RL compute is most often mentioned alongside DeepMind, GitHub and Cognitive Behavioral Therapy (CBT).
Mentioned together: DeepMind, GitHub, Cognitive Behavioral Therapy (CBT), Alibaba, Wolfgang Amadeus Mozart, Intel Corporation, New York Times, All-In Podcast, Perplexity, AI agents