Reinforcement Learning: An Overview · HackerPapers discussions

Reinforcement Learning: An Overview — mentioned by nextos

Tue, 16 Jun 2026 04:57:07 GMT

> "Probabilistic Machine Learning" by Murphy [...] even if it contains virtually no deep learning in it This is confusing. Are you referring to the old 2012 version? Volumes 1 & 2 (2022-3) contain a substantial amount of deep learning [1], including relatively recent developments. There's also a new RL volume getting written, with some drafts deposited in arXiv [2]. [1] https://probml.github.io/pml-book [2] https://arxiv.org/pdf/2412.05265

Paper and discussion history. A mention is not an endorsement.

Reinforcement Learning: An Overview — mentioned by _giorgio_

Wed, 26 Nov 2025 14:34:41 GMT

Kindly suggest some books about RL? I've already studied a lot of deep learning. Please confirm if these resoruces are good, or suggest yours: Sutton et al. - Reinforcement Learning Kevin Patrick Murphy - Reinforcement Learning, an overview https://arxiv.org/abs/2412.05265 Sebastian Raschka (upcoming book) ...

Paper and discussion history. A mention is not an endorsement.

Reinforcement Learning: An Overview — mentioned by joelthelion

Wed, 26 Mar 2025 13:07:56 GMT

This one looks pretty good: https://arxiv.org/pdf/2412.05265v2, although I've only skimmed it so far.

Paper and discussion history. A mention is not an endorsement.

Reinforcement Learning: An Overview — mentioned by kristjansson

Mon, 10 Mar 2025 20:43:45 GMT

Also worth mentioning Murphy's WIP textbook[0] focused entirely on RL, which is an outgrowth of his excellent ML textbooks. [0]: https://arxiv.org/abs/2412.05265

Paper and discussion history. A mention is not an endorsement.

Reinforcement Learning: An Overview — mentioned by _giorgio_

Sun, 02 Feb 2025 18:43:20 GMT

* 1 point by _giorgio_ 0 minutes ago | next | edit | delete [–] https://arxiv.org/abs/2412.05265 Reinforcement Learning: An Overview Kevin Murphy This manuscript gives a big-picture, up-to-date overview of the field of (deep) reinforcement learning and sequential decision making, covering value-based RL, policy-gradient methods, model-based methods, and various other topics (including a very brief discussion of RL+LLMs). From: Kevin Murphy [view email] [v1] Fri, 6 Dec 2024 18:53:49 UTC (6,099 KB)

Paper and discussion history. A mention is not an endorsement.

Reinforcement Learning: An Overview — mentioned by _giorgio_

Sun, 02 Feb 2025 18:42:38 GMT

https://arxiv.org/abs/2412.05265 Reinforcement Learning: An Overview Kevin Murphy This manuscript gives a big-picture, up-to-date overview of the field of (deep) reinforcement learning and sequential decision making, covering value-based RL, policy-gradient methods, model-based methods, and various other topics (including a very brief discussion of RL+LLMs). From: Kevin Murphy [view email] [v1] Fri, 6 Dec 2024 18:53:49 UTC (6,099 KB)

Paper and discussion history. A mention is not an endorsement.

Reinforcement Learning: An Overview — HN submission

Sun, 02 Feb 2025 17:20:21 GMT

Reinforcement Learning: An Overview

82 points; 12 discussion replies on HN. Paper and source history. A submission is not an endorsement.

Reinforcement Learning: An Overview — HN submission

Mon, 09 Dec 2024 06:52:42 GMT

Reinforcement Learning: An Overview

6 points; 1 discussion reply on HN. Paper and source history. A submission is not an endorsement.