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Distributional Reinforcement Learning

Value distribution is the distribution of the random return received by a reinforcement learning agent. it been used for a specific purpose such as implementing risk-aware behaviour.

We have random return Z whose expectation is the value Q. This random return is also described by a recursive equation, but one of a distributional nature

Papers

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Showing 131–137 of 137 papers

Title	Date	Tasks	Status
Implicit Quantile Networks for Distributional Reinforcement Learning	Jun 14, 2018	Atari GamesDistributional Reinforcement Learning	CodeCode Available
Nonlinear Distributional Gradient Temporal-Difference Learning	May 20, 2018	Distributional Reinforcement LearningReinforcement Learning	—Unverified
GAN Q-learning	May 13, 2018	Distributional Reinforcement LearningOpenAI Gym	CodeCode Available
Exploration by Distributional Reinforcement Learning	May 4, 2018	Deep Reinforcement LearningDistributional Reinforcement Learning	—Unverified
An Analysis of Categorical Distributional Reinforcement Learning	Feb 22, 2018	Distributional Reinforcement Learningreinforcement-learning	—Unverified
Distributional Reinforcement Learning with Quantile Regression	Oct 27, 2017	Atari GamesDistributional Reinforcement Learning	CodeCode Available
The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning	Apr 15, 2017	Atari GamesDistributional Reinforcement Learning	—Unverified

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