About Us
Searching-Eye
|
Google's Self-Driving Car: Sebastian Thurn Talk
Autonomous Waypoint Generation Strategy for On-Line Navigation in Unknown Environments
High Speed On-Line Motion Planning In Cluttered Environments
Unconstrained Minimization: Steepest Descent Methods & Convergence Analysis
Unconstrained Minimization: Convergence Analysis of Gradient Descent Using Line Search
Autonomous Driving Sebastian Thrun Google Path Planning, Waypoint Generation, Navigation Online Motion Non-Holonimic Constraints Steepest Descent Gradient Coordinate Convergence Analysis Analysis, Condition Number, Descent, Unconstrained Minimization Backtracking Line Search, Exact Search Number Optimization SVM, Lagrange Dual, KKT-Conditions, Weak & Strong Duality, Slater's Constraint Qualification, Complementary Slackness. Kernel Machines Trick Perceptron Voted Methods, Reinforcement Learning, Kernelized Value Function Approximation Geometric-Analysis BRM Bellman Residual Fixed-Point Methods LSPI, Solution, Operator, Acrobot, Chain-Walk-Domain " Least-Squares Temporal Difference Learning", LSTD, "Reinforcement "Value Approximation", "Linear Approximation" Learning Monte Carlo SARSA Q-Learning R-Learning Actor-Critic 1-Step TD(0) QCQP, SDP, SOCP, Navigation, Convex Programming, Continuous Environments Ellipsoidal Constrained Agent Planning On-Policy Off-Policy E-soft E-greedy Exploring Starts GPI Policy Evaluation Improvement Iteration Optimality Equation Single FOMDPs Static Environment Machine Kullback Leibler Divergence Perspective Epigraph Information Gain Entropy Differemtial Discrete Relative Functions Markov Property
Copyright © 2009-2010 Searching-Eye. All rights reserved.