Engineering Notes
Thoughts and Ideas on AI by Muthukrishnan
Tag: Planning
Causal Reasoning and Intervention Planning in AI Agents
How AI agents can move beyond correlation to understand cause and effect, enabling more robust planning, better tool use, and reliable interventions in the real worldDiffusion Models and Iterative Refinement in AI Agent Planning
Explore how diffusion models enable AI agents to generate and refine complex action plans through iterative denoising, revolutionizing long-horizon planning and decision-making.Beam Search and Parallel Decoding for Multiple Solution Paths in AI Agents
Master beam search—a powerful technique for exploring multiple solution paths simultaneously in AI agents, from classical NLP to modern LLM reasoning systems.Constraint Satisfaction Problems for Valid Solutions in Complex Agent Planning
Master constraint satisfaction problems (CSP) - a fundamental technique for agent planning, scheduling, and configuration tasks where finding any valid solution is the goal.Planning with Backtracking and Replanning for Resilient Adaptive Agents
Learn how backtracking and replanning enable AI agents to recover from failures and adapt to dynamic environmentsDecision-Making Under Partial Observability with POMDPs
Most AI agents operate in messy, real-world environments where they can't see everything. Your autonomous vacuum doesn'...Building Rational Agents with Human-Like Reasoning Using BDI Architecture
Master the BDI architecture pattern that models rational agent behavior through beliefs, desires, and intentions—a bridge between philosophy and practical AI systems.Goal-Oriented Action Planning for Dynamic Problem Solving in Adaptive Agents
Discover how Goal-Oriented Action Planning (GOAP) enables AI agents to dynamically create flexible plans that adapt to changing conditions, from game NPCs to modern autonomous systems.Hierarchical Task Networks for Planning with Decomposition
## 1. Concept Introduction **In Simple Terms:** Imagine you're planning to "prepare a dinner party." You don't think ...Monte Carlo Tree Search from Games to LLMs
## 1. Concept Introduction Imagine you're playing a complex board game like Go. The number of possible moves is astron...Improving Agent Reliability with Plan-and-Solve Prompting
## 1. Concept Introduction Before you cook a complex meal, you read the recipe. Before you assemble furniture, you con...