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| CS-Notes | https://github.com/loopx-agent/CS-Notes/tree/master |
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| Raw | https://github.com/loopx-agent/CS-Notes/raw/refs/heads/master/Notes/Reinforcement-Learning.md |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#reinforcement-learning |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#基本问题 |
| 深度强化学习(一)强化学习概述 - iker peng的文章 - 知乎 | https://zhuanlan.zhihu.com/p/22542101 |
| 深度强化学习系列(二)强化学习基础 - iker peng的文章 - 知乎 | https://zhuanlan.zhihu.com/p/23436744 |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#rl-与监督学习--推荐系统的区别 |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#什么时候-rl-是必要的 |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#为什么大模型通常不是从零-rl |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#核心难点与理论抓手 |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#mdp--pomdp |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#state--observation--belief--reward |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#credit-assignment |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#counterfactual-branch |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#exploration-vs-exploitation |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#on-policy--off-policy |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#behavior-cloning--sft |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#policy-support--kl-shift |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#rollout--trajectory--episode |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#counterfactual-evaluation--off-policy-evaluation |
| Counterfactual Reasoning and Learning Systems | https://jmlr.csail.mit.edu/beta/papers/v14/bottou13a.html |
| arXiv | https://arxiv.org/abs/1209.2355 |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#haty |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#markov-factor-replacement |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#y |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#y-1 |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#haty_is |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#overlapclipping-与置信区间 |
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| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#专题从-rl-不易遗忘到推荐系统缺陷 |
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| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning/rlvr-off-principal-optimization.jpg |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#high-entropy--forking-tokens |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning/high-entropy-forking-tokens-rl.jpg |
| 青稞社区转载全文 | https://qingkeai.online/archives/D9j6JtwN |
| 知乎原文 | https://zhuanlan.zhihu.com/p/1976336943878005134 |
| Reinforcement Fine-Tuning Naturally Mitigates Forgetting in Continual Post-Training | https://arxiv.org/abs/2507.04218 |
| SFT Memorizes, RL Generalizes | https://arxiv.org/abs/2501.17161 |
| The Path Not Taken | https://arxiv.org/abs/2510.19222 |
| Beyond the 80/20 Rule | https://arxiv.org/abs/2510.23840 |
| Retaining by Doing | https://arxiv.org/abs/2509.19065 |
| RL's Razor | https://arxiv.org/abs/2509.04259 |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#bias-variance-bootstrapping |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#td-error-accumulation-td-误差累积 |
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| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#mathbbeleftfrac1gsum_i1gfrac1o_isum_t1o_iminleftr_itthetahataimathrmcliprittheta-1-epsilon-1epsilonhata_iright |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#r_ittheta |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#hata_i |
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| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#llm-post-trainingrlhf--rft--reasoning-rl |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#rlhf--基于人类反馈的强化学习 |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#intro |
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| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#历史发展 |
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| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#rlhf-步骤 |
| InstructGPT | https://openai.com/blog/instruction-following/ |
| https://huggingface.co/blog/rlhf | https://huggingface.co/blog/rlhf |
| Proximal Policy Optimization | https://openai.com/blog/openai-baselines-ppo/ |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning/ChatGPT_Diagram.svg |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#instructgpt--介绍rlhf的数据工程 |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning/image-20251002032216911.png |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#ultrafeedback |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning/image-20251002032525480.png |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#推理模型与-rlopenai-o1--cot |
| 如何理解OpenAI o1 | https://mp.weixin.qq.com/s/QdVSq8q7wLWtPakdZdqidA |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#cot |
| OpenAI研究员、思维树作者姚顺雨专访:人生是一场无限流游戏丨独家 | https://mp.weixin.qq.com/s/MdPI-X1HvRxFuX_Z0Ju_ug |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#rl-工程与系统 |
| http://xhslink.com/o/2MvDgQlctwI | http://xhslink.com/o/2MvDgQlctwI |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#挑战训推一体 |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning/image-20251007143316174.png |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#partial-rollout |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#intro-1 |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning/image-20251007143441936.png |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#mooncake--rl |
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| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#verl |
| https://arxiv.org/abs/2409.19256 | https://arxiv.org/abs/2409.19256 |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#intro-2 |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#应用形态 |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#search-r1 |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#zerosearch |
| https://alibaba-nlp.github.io/ZeroSearch/ | https://alibaba-nlp.github.io/ZeroSearch/ |
| https://github.com/Alibaba-nlp/ZeroSearch | https://github.com/Alibaba-nlp/ZeroSearch |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#agent-memory--context-routing |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#其它应用领域 |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#游戏 |
| AI挑战黑神话!死亡1000次,我训练的AI终于击败了首个BOSS【图灵计划10】 | https://www.bilibili.com/video/BV1qE421c7mU |
| 【DQN只狼实战教程】手把手带你实现用强化学习DQN打只狼里的boss(第一期) | https://www.bilibili.com/video/BV1by4y1n7pe |
| https://github.com/loopx-agent/CS-Notes/blob/master/Notes/Reinforcement-Learning.md#机器人 |
| 一群不懂ActorCritic强化学习和PPO的人强行读Humanoid-Gym代码四小时_哔哩哔哩_bilibili | https://b23.tv/25KisIK |
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