Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning

This publication has 10 references indexed in Scilit:

• Function Optimization using Connectionist Reinforcement Learning Algorithms
  Connection Science, 1991
• A stochastic reinforcement learning algorithm for learning real-valued functions
  Neural Networks, 1990
• On the use of backpropagation in associative reinforcement learning
  Published by Institute of Electrical and Electronics Engineers (IEEE) ,1988
• Decentralized learning in finite Markov chains
  IEEE Transactions on Automatic Control, 1986
• Parallel Distributed Processing
  Published by MIT Press ,1986
• Pattern-recognizing stochastic learning automata
  IEEE Transactions on Systems, Man, and Cybernetics, 1985
• A new approach to the design of reinforcement schemes for learning automata
  IEEE Transactions on Systems, Man, and Cybernetics, 1985
• An N-player sequential stochastic game with identical payoffs
  IEEE Transactions on Systems, Man, and Cybernetics, 1983
• Neuronlike adaptive elements that can solve difficult learning control problems
  IEEE Transactions on Systems, Man, and Cybernetics, 1983
• Associative search network: A reinforcement learning associative memory
  Biological Cybernetics, 1981