Policy Gradient Methods for Reinforcement Learning with ...
policy parameters are updated approximately proportional to the gradient: ... Learning a value function and using it to reduce the variance of the gradient estimate appears to be essential for rapid learning. Jaakkola, Singh and Jordan (1995) proved a result very similar to ours for the special case of function ...
Policy, Methods, Learning, Reinforcement, Derating, Policy gradient methods for reinforcement learning
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