Angelos Filos | DeepAI

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∙ 06/02/2023

ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive Advantages

In this paper, we introduce a novel method for enhancing the effectivene...

0 Andrew Jesson, et al. ∙

∙ 01/28/2023

Composing Task Knowledge with Modular Successor Feature Approximators

Recently, the Successor Features and Generalized Policy Improvement (SF ...

0 Wilka Carvalho, et al. ∙

∙ 11/23/2022

Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks

Bayesian deep learning seeks to equip deep neural networks with the abil...

0 Neil Band, et al. ∙

∙ 10/25/2022

In-context Reinforcement Learning with Algorithm Distillation

We propose Algorithm Distillation (AD), a method for distilling reinforc...

1 Michael (Misha) Laskin, et al. ∙

∙ 10/25/2021

Self-Consistent Models and Values

Learned models of the environment provide reinforcement learning (RL) ag...

6 Gregory Farquhar, et al. ∙

∙ 06/07/2021

Uncertainty Baselines: Benchmarks for Uncertainty Robustness in Deep Learning

High-quality estimates of uncertainty and robustness are crucial for num...

0 Zachary Nado, et al. ∙

∙ 02/24/2021

PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning

We study reinforcement learning (RL) with no-reward demonstrations, a se...

16 Angelos Filos, et al. ∙

∙ 06/26/2020

Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?

Out-of-training-distribution (OOD) scenarios are a common challenge of l...

14 Angelos Filos, et al. ∙

∙ 05/28/2020

Uncertainty Evaluation Metric for Brain Tumour Segmentation

In this paper, we develop a metric designed to assess and rank uncertain...

20 Raghav Mehta, et al. ∙

∙ 03/12/2020

Invariant Causal Prediction for Block MDPs

Generalization across environments is critical to the successful applica...

2 Amy Zhang, et al. ∙

∙ 12/22/2019

A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic Retinopathy Tasks

Evaluation of Bayesian deep learning (BDL) methods is challenging. We of...

86 Angelos Filos, et al. ∙

∙ 09/12/2019

Reinforcement Learning for Portfolio Management

In this thesis, we develop a comprehensive account of the expressive pow...

0 Angelos Filos, et al. ∙

∙ 07/02/2019

Generalizing from a few environments in safety-critical reinforcement learning

Before deploying autonomous agents in the real world, we need to be conf...

7 Zachary Kenton, et al. ∙

∙ 06/11/2019

Towards Inverse Reinforcement Learning for Limit Order Book Dynamics

Multi-agent learning is a promising method to simulate aggregate competi...

1 Jacobo Roa-Vicens, et al. ∙

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