'Reward function' diaporamas de présentation

POMDPs

1.94k views • 126 slides

Models of Coordination in Multiagent Decision Making

Models of Coordination in Multiagent Decision Making. Chris Amato Many slides from a larger tutorial with Matthijs Spaan and Shlomo Zilberstein Some other slides courtesy of: Dan Bernstein, Frans Oliehoek and Alan Carlin. General overview.

1.09k views • 104 slides

Big picture and key challenges

Apprenticeship Learning for Robotic Control, with Applications to Quadruped Locomotion and Autonomous Helicopter Flight Pieter Abbeel Stanford University (Variation hereof) presented at Cornell/USC/UCSD/Michigan/UNC/Duke/UCLA/UW/EPFL/Berkeley/CMU Winter/Spring 2008

668 views • 57 slides

Collective Revelation: A Mechanism for Self-Verified, Weighted, and Truthful Predictions

Collective Revelation: A Mechanism for Self-Verified, Weighted, and Truthful Predictions. Sharad Goel , Daniel M. Reeves, David M. Pennock. Presented by: Nir Shabbat. Outline. Introduction Background and Related Work The Settings A Mechanism For Collective Revelation The Basic Mechanism

562 views • 45 slides

Hierarchical Reinforcement Learning

Hierarchical Reinforcement Learning. Amir massoud Farahmand Farahmand@SoloGen.net. Markov Decision Problems. Markov Process: Formulating a wide range of dynamical systems Finding an optimal solution of an objective function [Stochastic] Dynamics Programming Planning: Known environment

674 views • 44 slides

Simulating Civilization Change with Nexus Cognitive Agents

Simulating Civilization Change with Nexus Cognitive Agents. Deborah Duong, Agent Based Learning Systems Gerald Pearman , Augustine Consulting AHFE 12. Purpose and Agenda. Purpose: To show the benefits of Symbolic Interactionist Simulation for the Simulation of Social Aggregation.

459 views • 32 slides

Monte-Carlo methods for Computation and Optimization Spring 2015

N-Grams and the Last-Good-Reply Policy in MCTS. Monte-Carlo methods for Computation and Optimization Spring 2015.

324 views • 32 slides

Autonomous Mobile Robots CPE 470/670

Autonomous Mobile Robots CPE 470/670. Lecture 12 Instructor: Monica Nicolescu. Review. Emergent behavior Deliberative systems Planning Drawbacks of SPA architectures Hybrid Architectures. Learning & Adaptive Behavior.

417 views • 31 slides

Privacy-Triggered Communications in Pervasive Social Networks

Privacy-Triggered Communications in Pervasive Social Networks. Murtuza Jadliwala , Julien Freudiger , Imad Aad , Jean-Pierre Hubaux and Valtteri Niemi. Rise of Wireless P2P Networks. Tourists. Wireless P2P in smart phones and mobile devices Complement infrastructure

371 views • 28 slides

Apprenticeship learning for robotic control

Apprenticeship learning for robotic control. Pieter Abbeel Stanford University Joint work with Andrew Y. Ng, Adam Coates, Morgan Quigley. Dynamics Model. P sa. This talk. Reinforcement Learning. Reward Function R. Control policy p. Recurring theme: Apprenticeship learning.

371 views • 26 slides

An Application of Reinforcement Learning to Autonomous Helicopter Flight

An Application of Reinforcement Learning to Autonomous Helicopter Flight. Pieter Abbeel, Adam Coates, Morgan Quigley and Andrew Y. Ng Stanford University. Overview. Autonomous helicopter flight is widely accepted to be a highly challenging control/reinforcement learning (RL) problem.

396 views • 25 slides

Efficient Implementation of Reinforcement Learning In Co-ordinated Group Activities

Efficient Implementation of Reinforcement Learning In Co-ordinated Group Activities. By Ashwinkumar Ganesan CMSC 601. Agenda. Reinforcement Learning Problem Statement Proposed Method Conclusions. What is Reinforcement Learning?. Method for learning by experience

247 views • 24 slides

Henry Hexmoor SIUC

384 views • 23 slides

Unsupervised Perceptual Rewards For Imitation Learning

Unsupervised Perceptual Rewards For Imitation Learning. Pierre Sermanet , Kelvin Xu & Sergey Levine Presented by: Mehmet Emre Sonmez. Robot Learning Recap. Learning from Demonstration ( LfD ) Video demonstration Kinesthetic Teaching Shortcomings: Difficult to demonstrate

262 views • 23 slides

ASoC Design Methodology

399 views • 22 slides

Efficient Solution Algorithms for Factored MDPs

Efficient Solution Algorithms for Factored MDPs . by Carlos Guestrin, Daphne Koller, Ronald Parr, Shobha Venkataraman. Presented by Arkady Epshteyn. Problem with MDPs. Exponential number of states Example: Sysadmin Problem 4 computers: M 1 , M 2 , M 3 , M 4

394 views • 22 slides

No Metrics Are Perfect: Adversarial REward Learning for Visual Storytelling

No Metrics Are Perfect: Adversarial REward Learning for Visual Storytelling. Xin (Eric) Wang*, Wenhu Chen*, Yuan-Fang Wang, William Wang. Image Captioning. Caption: Two young kids with backpacks sitting on the porch. Visual Storytelling. Story:

222 views • 22 slides

Verve: A General Purpose Open Source Reinforcement Learning Toolkit

Verve: A General Purpose Open Source Reinforcement Learning Toolkit. Tyler Streeter, James Oliver, & Adrian Sannier ASME IDETC & CIE, September 13, 2006. Motivation. Intelligent agents are becoming increasingly important. Motivation.

374 views • 20 slides

Learning From Demonstration Atkeson and Schaal

Learning From Demonstration Atkeson and Schaal. Dang, RLAB Feb 28 th , 2007. Goal. Robot Learning from Demonstration Small number of human demonstrations Task level learning (learn intent, not just mimicry) Explore Parametric vs. nonparametric learning role of a priori knowledge.

251 views • 16 slides

Reinforcement Learning for Mapping Instructions to Actions

Reinforcement Learning for Mapping Instructions to Actions. S.R.K. Branavan , Harr Chen, Luke S. Zettlemoyer , Regina Barzilay Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Introduction.

286 views • 14 slides