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). https://arxiv.org/abs/2412.05265

Hi all, which GPU would you recommend? I am building a multi-agent on local with multiple LLM Models. I can start with small open source models but i want to build a machine enough for 70B GGUF or 33B full precision in the future. Does anyone consider this type of hardware? Or you use all on Cloud Services? Any suggestion appreciated.

An open source model that compares to Open AI's o1 reasoning model on several benchmarks. The research paper: DeepSeek_R1.pdf. https://github.com/deepseek-ai/DeepSeek-R1 """ We introduce our first-generation reasoning models, DeepSeek-R1-Zero and DeepSeek-R1. DeepSeek-R1-Zero, a model trained via large-scale reinforcement learning (RL) without supervised fine-tuning (SFT) as a preliminary step, demonstrated remarkable performance on reasoning. With RL, DeepSeek-R1-Zero naturally emerged with numerous powerful and interesting reasoning behaviors. However, DeepSeek-R1-Zero encounters challenges such as endless repetition, poor readability, and language mixing. To address these issues and further enhance reasoning performance, we introduce DeepSeek-R1, which incorporates cold-start data before RL. DeepSeek-R1 achieves performance comparable to OpenAI-o1 across math, code, and reasoning tasks. To support the research community, we have open-sourced DeepSeek-R1-Zero, DeepSeek-R1, and six dense models distilled from DeepSeek-R1 based on Llama and Qwen. DeepSeek-R1-Distill-Qwen-32B outperforms OpenAI-o1-mini across various benchmarks, achieving new state-of-the-art results for dense models. """

i am on journey in cybersecurity and i do wanna learn ai as well right now at this point i dont know which one should (ai or cybersecurity).can any suggest please