AI Strategist w/ Monte Carlo Tree Search
New AI Agents calculate multiple futures and we use a Monte Carlo Tree Search algo to select one. One future for us. For your next day. Therefore I call it the "Tomorrow Machine".
The video explores the application of AI in personalized decision-making, using Monte Carlo methods to enhance real-world problem-solving. It contrasts Monte Carlo Particle Filters, used for estimating the state of dynamic systems, with Monte Carlo Tree Search (MCTS), which is applied to decision-making by simulating possible future outcomes. The focus then shifts to how MCTS can be integrated into AI systems to optimize strategies based on these simulated outcomes.
A key example discussed is the use of AI to personalize treatment plans for managing chronic diseases like diabetes. In this scenario, AI leverages MCTS to simulate various treatment strategies based on individual patient data, including medical history, lifestyle factors, and real-time health monitoring from wearable devices. By running these simulations, the AI can identify the most effective personalized treatment plans, which are then refined and iteratively improved to enhance patient outcomes.
The video highlights the broader potential of AI in forecasting and optimizing personalized strategies across different domains. By continuously refining these strategies through simulation and real-time data analysis, AI could significantly improve decision-making processes, leading to better management of complex, individualized scenarios. The content underscores the importance of integrating advanced AI techniques like MCTS into practical applications, offering a glimpse into the future of AI-driven forecasting and optimization.
All rights with authors:
STRATEGIST: LEARNING STRATEGIC SKILLS BY LLMS VIA BI-LEVEL TREE SEARCH
https://arxiv.org/pdf/2408.10635
Python Code: https://github.com/jonathanmli/Avalon...
Free COLAB NB: https://colab.research.google.com/dri...
00:00 Let us find the best future
01:26 Monte Carlo Tree Search - MCTS in AI Agents
03:50 Strategist: Learning Strategic Skills
05:04 Strategy update process with Self-play and MCTS
06:10 MCTS explained step by step
09:10 Add an ethics filter to MCTS simulations
09:54 Google COLAB NB Strategist w/ MCTS
10:22 MCTS Python Code
11:04 My Example of Strategist Framework
24:08 Forecasting (Med, Finance) by AI Agents
#airesearch
#aiagents
#education
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