Reinforcement Learning Jobs

I have a fully-working trading bot written in Python that watches Level 2 order-book data, feeds those ticks into a reinforcement-learning loop, runs several layers of data analysis, then fires real-time trading signals. I now want the exact same behaviour recreated in TradingView’s Pine Script. The single most important requirement is flawless conversion: every calculation, state update and signal generated by the Pine version must match the Python output bar-for-bar and tick-for-tick. That includes: • Level 2 data tracking – the script needs to ingest and process the depth information available in TradingView exactly as the Python bot does. • Reinforcement learning logic – the reward function, policy updates and long-term memory currently coded in Python ...

We are building a large-scale multi-agent AI system with 33 advanced skills (self-learning, self-coding, quantum integration, invisibility, etc.). The system will scale to 50 lakh (5 million) autonomous agents.*

I am planning a sustained series of Artificial Intelligence studies that will be submitted to peer-reviewed journals and conferences. For each project I will provide the core research question, relevant datasets (or simulation parameters), and any preliminary experimental results. Your task is to transform that material into a full, publication-ready research paper that meets the formatting and methodological standards of venues such as IEEE, ACM, or Springer. Typical flow • You review the brief, confirm the research hypothesis, and propose the structure of the paper. • Once we agree on the outline, you expand it into an 8-12 page manuscript in LaTeX (preferred) or Word, complete with abstract, introduction, related-work section, methodology, experiments, discussion, conclus...