Reinforcement Learning

Reinforcement Learning

Topic

Heard in 11 episodes across 6 shows since Dec 2025

Reinforcement learning (RL) is a machine learning paradigm concerned with how intelligent agents should take actions in a dynamic environment to maximize cumulative reward. It is one of the three basic machine learning paradigms, alongside supervised learning and unsupervised learning.

Learn more

Episodes

11
across 6 shows

First heard

Dec 2025

Expert statements

7
1 positive · 2 negative

Episodes per month

Public PodLume episodes featuring it, over the last year.

Show the data
MonthEpisodes
Nov 20250
Dec 20251
Jan 20260
Feb 20262
Mar 20260
Apr 20260
May 20261
Jun 20262
Jul 20261
Aug 20263
Sep 20261
Oct 20260

What experts have said about Reinforcement Learning

7 statements · 1 positive · 2 negative · 2 mixed · 2 neutral

  1. Noam BrownNegativeSep 17, 2026· Dwarkesh Podcast

    AI progress could slow if challenging reinforcement-learning problems become scarce.

    “if we run out of problems to ask it that challenge it, then that is a plausible scenario where actually like, okay, it becomes much harder to make progress”

    Listen at 8:12

    Open the episode · Noam Brown – Agent swarms, alignment, & recursive self-improvement
  2. Beren MillidgeMixedSep 11, 2026· Dwarkesh Podcast

    Much apparent RL progress actually comes from strong synthetic mid-training data.

    “An awful lot of what we see as successes of RL actually comes from very, very good mid-training data”

    Listen at 1:18:57

    Open the episode · AI researchers debate how close we are to recursive self-improvement
  3. Charlie O'NeillMixedSep 11, 2026· Dwarkesh Podcast

    LLM reinforcement learning has produced horizon generalization more than broad cross-domain reasoning transfer.

    “what we did get though is horizon generalization”

    Listen at 1:22:52

    Open the episode · AI researchers debate how close we are to recursive self-improvement
See all 7 statements →

Statements are attributed to the speaker as said on the episode and reflect their view at the time, not PodLume's. They are not advice.

Episodes

11 episodes featuring Reinforcement Learning, newest first

See all 11 episodes →
Reinforcement Learning · PodLume