'Continuous state' presentation slideshows

Increasing Scalability in Algorithms for Centralized and Decentralized POMDPs

Increasing Scalability in Algorithms for Centralized and Decentralized POMDPs. Christopher Amato Carnegie Mellon University Feb 5 th , 2010. Introduction. Sequential decision-making Reasoning under uncertainty Decision-theoretic approach Single and cooperative multiagent. Outline.

549 views • 44 slides

Learning Integrated Symbolic and Continuous Action Models

Learning Integrated Symbolic and Continuous Action Models. Joseph Xu & John Laird May 29, 2013. Action Models. Definition of Action Model is world state at time , is action Long-living agents must adapt to new environments Must learn action models from observation. ?. Benefits.

497 views • 32 slides

The Orphanage Analysis

465 views • 21 slides

Sample-based Planning for Continuous Action Markov Decision Processes

Sample-based Planning for Continuous Action Markov Decision Processes. Ari Weinstein Chris Mansley Michael L. Littman. aweinst@rutgers.edu cmansley@cs.rutgers.edu mlittman@cs.rutgers.edu. Rutgers Laboratory for Real-Life Reinforcement Learning. Motivation. Sample-based planning:

168 views • 16 slides

ECE 466/658: Performance Evaluation and Simulation

ECE 466/658: Performance Evaluation and Simulation. Introduction Instructor: Christos Panayiotou. Syllabus. Topics System Modeling and Modeling approaches Discrete Event Simulation Markov Chains Queueing Systems Queueing Networks Applications Additional Information

266 views • 15 slides

Model-based Programming as Estimating, Planning and Executing based on Hidden State

Model-based Programming as Estimating, Planning and Executing based on Hidden State. Brian C. Williams Artificial Intelligence and Space Systems Labs Massachusetts Institute of Technology. JSC BIO-Plex. Mars Entry, descent & Landing. Objective.

247 views • 12 slides

Practical Reinforcement Learning in Continuous Space

Practical Reinforcement Learning in Continuous Space. William D. Smart Brown University Leslie Pack Kaelbling MIT. Presented by: David LeRoux. Goals of Paper. Practical RL approach Handles continuous state and action spaces Safely approximates value function

190 views • 6 slides

INTRODUCTION to SWITCHED and HYBRID SYSTEMS

INTRODUCTION to SWITCHED and HYBRID SYSTEMS. Daniel Liberzon. Coordinated Science Laboratory and Dept. of Electrical & Computer Eng., Univ. of Illinois at Urbana-Champaign. SWITCHED and HYBRID SYSTEMS. thermostat. walking. electric circuit. stick shift. cell division.

187 views • 4 slides

Irrigation network is a network of irrigation channels connected by regulation devices

Hybrid Markov Decision Processes. Quality of ?-HALP Approximation. Achieving d -Infeasibility. Factored ?- HALP formulation. Linear Value Function Approximation. Efficient Solution for Factored ?- HALP. Near Feasibility Implies Near Optimality. Irrigation Network Example.

172 views • 1 slides