Scott Fujimoto | DeepAI

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∙ 06/04/2023

For SALE: State-Action Representation Learning for Deep Reinforcement Learning

In the field of reinforcement learning (RL), representation learning is ...

0 Scott Fujimoto, et al. ∙

∙ 05/19/2022

IL-flOw: Imitation Learning from Observation using Normalizing Flows

We present an algorithm for Inverse Reinforcement Learning (IRL) from ex...

0 Wei-Di Chang, et al. ∙

∙ 01/28/2022

Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error

In this work, we study the use of the Bellman equation as a surrogate ob...

0 Scott Fujimoto, et al. ∙

∙ 06/12/2021

A Minimalist Approach to Offline Reinforcement Learning

Offline reinforcement learning (RL) defines the task of learning from a ...

0 Scott Fujimoto, et al. ∙

∙ 06/12/2021

A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation

Marginalized importance sampling (MIS), which measures the density ratio...

0 Scott Fujimoto, et al. ∙

∙ 07/12/2020

An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay

Prioritized Experience Replay (PER) is a deep reinforcement learning tec...

0 Scott Fujimoto, et al. ∙

∙ 10/03/2019

Benchmarking Batch Deep Reinforcement Learning Algorithms

Widely-used deep reinforcement learning algorithms have been shown to fa...

0 Scott Fujimoto, et al. ∙

∙ 01/31/2019

GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects

Mesh models are a promising approach for encoding the structure of 3D ob...

18 Edward J. Smith, et al. ∙

∙ 12/07/2018

Off-Policy Deep Reinforcement Learning without Exploration

Reinforcement learning traditionally considers the task of balancing exp...

0 Scott Fujimoto, et al. ∙

∙ 02/27/2018

3D Object Super-Resolution

We consider the problem of scaling deep generative shape models to high-...

0 Edward Smith, et al. ∙

∙ 02/26/2018

Addressing Function Approximation Error in Actor-Critic Methods

In value-based reinforcement learning methods such as deep Q-learning, f...

0 Scott Fujimoto, et al. ∙

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