'Policy gradient' diaporamas de présentation

RL for Large State Spaces: Policy Gradient

RL for Large State Spaces: Policy Gradient. Alan Fern. RL via Policy Gradient Search. So far all of our RL techniques have tried to learn an exact or approximate value function or Q-function Learn optimal value of being in a state, or taking an action from state.

392 views • 31 slides

RL for Large State Spaces: Policy Gradient

422 views • 30 slides

RL for Large State Spaces: Policy Gradient

376 views • 30 slides

Using Inaccurate Models in Reinforcement Learning

Using Inaccurate Models in Reinforcement Learning. Pieter Abbeel, Morgan Quigley and Andrew Y. Ng Stanford University. Overview. Reinforcement learning in high-dimensional continuous state-spaces. Model-based RL: Difficult to build an accurate model.

328 views • 23 slides

Dr. Itamar Arel College of Engineering Department of Electrical Engineering and Computer Science

ECE 517: Reinforcement Learning in Artificial Intelligence Lecture 20: Approximate & Neuro Dynamic Programming, Policy Gradient Methods. November 15, 2010. Dr. Itamar Arel College of Engineering Department of Electrical Engineering and Computer Science The University of Tennessee

383 views • 21 slides

Efficient Policy Gradient Optimization/Learning of Feedback Controllers

307 views • 19 slides

Efficient Policy Gradient Optimization/Learning of Feedback Controllers

257 views • 19 slides

Using Inaccurate Models in Reinforcement Learning

desired trajectory model-based controller our algorithm. S T A N F O R D. S T A N F O R D. 1. Preliminaries Markov Decision Process (MDP) M = ( S , A , T , H , s 0 , R ). S = ? n (continuous state space) Time varying, deterministic dynamics

74 views • 1 slides