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| Main Author: | |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2412.05265 |
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| _version_ | 1866917116676931584 |
|---|---|
| author | Murphy, Kevin |
| author_facet | Murphy, Kevin |
| contents | This manuscript gives a big-picture, up-to-date overview of the field of (deep) reinforcement learning and sequential decision making, covering value-based methods, policy-based methods, model-based methods, multi-agent RL, LLMs and RL, and various other topics (e.g., offline RL, hierarchical RL, intrinsic reward). It also includes some code snippets for training LLMs with RL. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_05265 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Reinforcement Learning: An Overview Murphy, Kevin Artificial Intelligence Machine Learning This manuscript gives a big-picture, up-to-date overview of the field of (deep) reinforcement learning and sequential decision making, covering value-based methods, policy-based methods, model-based methods, multi-agent RL, LLMs and RL, and various other topics (e.g., offline RL, hierarchical RL, intrinsic reward). It also includes some code snippets for training LLMs with RL. |
| title | Reinforcement Learning: An Overview |
| topic | Artificial Intelligence Machine Learning |
| url | https://arxiv.org/abs/2412.05265 |