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distributional reinforcement learning

72 papers

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Also known as

DISTRIBUTIONAL RL DISTRL DRL

Co-occurring keywords

return distribution (18) value distribution (15) deep reinforcement learning (903) markov decision process (790) risk-sensitive reinforcement learning (27) policy gradient (520) quantile regression (95) sample efficiency (472) bellman equation (42) bellman operator (29)

Papers

A distributional view on multi-objective policy optimization ICML 2020
A Distributional Analysis of Sampling-Based Reinforcement Learning Algorithms AISTATS 2020
Stochastically Dominant Distributional Reinforcement Learning ICML 2020
A Local Temporal Difference Code for Distributional Reinforcement Learning NIPS 2020
Non-Crossing Quantile Regression for Distributional Reinforcement Learning NIPS 2020
Implicit Distributional Reinforcement Learning NIPS 2020
Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping RSS 2020
Improving Robustness via Risk Averse Distributional Reinforcement Learning L4DC 2020
Fully Parameterized Quantile Function for Distributional Reinforcement Learning NIPS 2019
Value Function in Frequency Domain and the Characteristic Value Iteration Algorithm NIPS 2019
A Comparative Analysis of Expected and Distributional Reinforcement Learning AAAI 2019
Distributional reinforcement learning with linear function approximation AISTATS 2019
QUOTA: The Quantile Option Architecture for Reinforcement Learning AAAI 2019
Statistics and Samples in Distributional Reinforcement Learning ICML 2019
Nonlinear Distributional Gradient Temporal-Difference Learning ICML 2019
Distributional Reinforcement Learning for Efficient Exploration ICML 2019
Distributional Multivariate Policy Evaluation and Exploration with the Bellman GAN ICML 2019
Distributional Reward Decomposition for Reinforcement Learning NIPS 2019
Implicit Quantile Networks for Distributional Reinforcement Learning ICML 2018
Exploration by Distributional Reinforcement Learning IJCAI 2018
An Analysis of Categorical Distributional Reinforcement Learning AISTATS 2018
A Distributional Perspective on Reinforcement Learning ICML 2017