Benchmarks for Deep Off-Policy Evaluation. | 0 | 0.34 | 2021 |
Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization. | 0 | 0.34 | 2021 |
Coupled Gradient Estimators for Discrete Latent Variables. | 0 | 0.34 | 2021 |
Model Based Reinforcement Learning for Atari. | 0 | 0.34 | 2020 |
Meta-Learning without Memorization. | 0 | 0.34 | 2020 |
Revisiting Auxiliary Latent Variables in Generative Models. | 0 | 0.34 | 2019 |
Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives. | 0 | 0.34 | 2019 |
The Laplacian in RL: Learning Representations with Efficient Approximations. | 0 | 0.34 | 2019 |
Understanding Posterior Collapse in Generative Latent Variable Models. | 0 | 0.34 | 2019 |
The Mirage of Action-Dependent Baselines in Reinforcement Learning. | 0 | 0.34 | 2018 |
Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling. | 0 | 0.34 | 2018 |
REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models. | 0 | 0.34 | 2017 |
Regularizing Neural Networks by Penalizing Confident Output Distributions. | 0 | 0.34 | 2017 |
Particle Value Functions. | 0 | 0.34 | 2017 |