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Distributional Reinforcement Learning

5 papers with code · Methodology

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Implicit Quantile Networks for Distributional Reinforcement Learning

ICML 2018 google/dopamine

In this work, we build on recent advances in distributional reinforcement learning to give a generally applicable, flexible, and state-of-the-art distributional variant of DQN.

ATARI GAMES DISTRIBUTIONAL REINFORCEMENT LEARNING

Distributional Reinforcement Learning with Quantile Regression

27 Oct 2017ars-ashuha/quantile-regression-dqn-pytorch

In this paper, we build on recent work advocating a distributional approach to reinforcement learning in which the distribution over returns is modeled explicitly instead of only estimating the mean.

ATARI GAMES DISTRIBUTIONAL REINFORCEMENT LEARNING

GAN Q-learning

13 May 2018daggertye/GAN-Q-Learning

Distributional reinforcement learning (distributional RL) has seen empirical success in complex Markov Decision Processes (MDPs) in the setting of nonlinear function approximation.

DISTRIBUTIONAL REINFORCEMENT LEARNING Q-LEARNING

QUOTA: The Quantile Option Architecture for Reinforcement Learning

5 Nov 2018PierreAlexSW/distributional_rl

In this paper, we propose the Quantile Option Architecture (QUOTA) for exploration based on recent advances in distributional reinforcement learning (RL).

DECISION MAKING DISTRIBUTIONAL REINFORCEMENT LEARNING