What Makes AI Work? A Breakdown of the Key Proofs

16 Jan 2025

Easy-to-follow explanation of the key lemma in RL with step-by-step proof breakdown.

Breaking Down Complex Concepts in Reinforcement Learning

16 Jan 2025

A simplified guide to understanding Theorem 5’s proof in RL, breaking down complex concepts for beginners.

Unpacking Key Proofs in Reinforcement Learning

16 Jan 2025

Explore simplified explanations of key proofs in reinforcement learning.

Making Sense of AI Learning Proofs

15 Jan 2025

Simplified insights from Reinforcement Learning proofs, designed for new learners to easily grasp complex ideas.

Breaking Down the Inductive Proofs Behind Faster Value Iteration in RL

15 Jan 2025

Explore the omitted proofs for Theorem 2, including the inductive approach to establishing the accelerated convergence rates for the Bellman optimality and anti

Foundational Lemmas for Bellman Optimality and Anti-Optimality Operators

15 Jan 2025

Explore key lemmas about Bellman optimality and anti-optimality operators.

A Smarter Solution to Speeding Up AI Training

15 Jan 2025

Anc-VI accelerates classical value iteration (VI) to achieve optimal convergence rates. This work opens new directions for RL optimization.

Gauss-Seidel Anchored Value Iteration and Its Benefits

14 Jan 2025

Learn about Gauss-Seidel Anchored Value Iteration, a method combining anchoring with Gauss-Seidel updates to improve convergence in finite state-action spaces.

How Approximate Anchored Value Iteration Handles Errors in Decision-Making Models

14 Jan 2025

Learn how Approximate Anchored Value Iteration (Apx-Anc-VI) remains robust against evaluation errors of the Bellman operator.