Picture for Costas Spanos

Costas Spanos

Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation

Add code
May 31, 2024
Figure 1 for Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation
Figure 2 for Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation
Figure 3 for Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation
Figure 4 for Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation
Viaarxiv icon

Active Reinforcement Learning for Robust Building Control

Add code
Dec 16, 2023
Figure 1 for Active Reinforcement Learning for Robust Building Control
Figure 2 for Active Reinforcement Learning for Robust Building Control
Figure 3 for Active Reinforcement Learning for Robust Building Control
Figure 4 for Active Reinforcement Learning for Robust Building Control
Viaarxiv icon

Adapting Surprise Minimizing Reinforcement Learning Techniques for Transactive Control

Add code
Nov 11, 2021
Figure 1 for Adapting Surprise Minimizing Reinforcement Learning Techniques for Transactive Control
Figure 2 for Adapting Surprise Minimizing Reinforcement Learning Techniques for Transactive Control
Figure 3 for Adapting Surprise Minimizing Reinforcement Learning Techniques for Transactive Control
Viaarxiv icon

Offline-Online Reinforcement Learning for Energy Pricing in Office Demand Response: Lowering Energy and Data Costs

Add code
Aug 14, 2021
Figure 1 for Offline-Online Reinforcement Learning for Energy Pricing in Office Demand Response: Lowering Energy and Data Costs
Figure 2 for Offline-Online Reinforcement Learning for Energy Pricing in Office Demand Response: Lowering Energy and Data Costs
Figure 3 for Offline-Online Reinforcement Learning for Energy Pricing in Office Demand Response: Lowering Energy and Data Costs
Figure 4 for Offline-Online Reinforcement Learning for Energy Pricing in Office Demand Response: Lowering Energy and Data Costs
Viaarxiv icon

Using Meta Reinforcement Learning to Bridge the Gap between Simulation and Experiment in Energy Demand Response

Add code
May 17, 2021
Figure 1 for Using Meta Reinforcement Learning to Bridge the Gap between Simulation and Experiment in Energy Demand Response
Figure 2 for Using Meta Reinforcement Learning to Bridge the Gap between Simulation and Experiment in Energy Demand Response
Figure 3 for Using Meta Reinforcement Learning to Bridge the Gap between Simulation and Experiment in Energy Demand Response
Viaarxiv icon

Towards Efficient Data Valuation Based on the Shapley Value

Add code
Feb 27, 2019
Figure 1 for Towards Efficient Data Valuation Based on the Shapley Value
Figure 2 for Towards Efficient Data Valuation Based on the Shapley Value
Figure 3 for Towards Efficient Data Valuation Based on the Shapley Value
Figure 4 for Towards Efficient Data Valuation Based on the Shapley Value
Viaarxiv icon

One Bit Matters: Understanding Adversarial Examples as the Abuse of Redundancy

Add code
Oct 23, 2018
Figure 1 for One Bit Matters: Understanding Adversarial Examples as the Abuse of Redundancy
Figure 2 for One Bit Matters: Understanding Adversarial Examples as the Abuse of Redundancy
Figure 3 for One Bit Matters: Understanding Adversarial Examples as the Abuse of Redundancy
Figure 4 for One Bit Matters: Understanding Adversarial Examples as the Abuse of Redundancy
Viaarxiv icon

A Deep Learning and Gamification Approach to Energy Conservation at Nanyang Technological University

Add code
Sep 25, 2018
Figure 1 for A Deep Learning and Gamification Approach to Energy Conservation at Nanyang Technological University
Figure 2 for A Deep Learning and Gamification Approach to Energy Conservation at Nanyang Technological University
Figure 3 for A Deep Learning and Gamification Approach to Energy Conservation at Nanyang Technological University
Figure 4 for A Deep Learning and Gamification Approach to Energy Conservation at Nanyang Technological University
Viaarxiv icon

Inverse Reinforcement Learning via Deep Gaussian Process

Add code
May 04, 2017
Figure 1 for Inverse Reinforcement Learning via Deep Gaussian Process
Figure 2 for Inverse Reinforcement Learning via Deep Gaussian Process
Figure 3 for Inverse Reinforcement Learning via Deep Gaussian Process
Figure 4 for Inverse Reinforcement Learning via Deep Gaussian Process
Viaarxiv icon