research
∙
05/28/2022
Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning
Recent progress in deep model-based reinforcement learning allows agents...
share
research
∙
08/14/2021
Fractional Transfer Learning for Deep Model-Based Reinforcement Learning
Reinforcement learning (RL) is well known for requiring large amounts of...
research
∙
10/25/2020
Enhancing reinforcement learning by a finite reward response filter with a case study in intelligent structural control
In many reinforcement learning (RL) problems, it takes some time until a...
research
∙
01/15/2020
Continuous-action Reinforcement Learning for Playing Racing Games: Comparing SPG to PPO
In this paper, a novel racing environment for OpenAI Gym is introduced. ...
research
∙
09/01/2019
Approximating two value functions instead of one: towards characterizing a new family of Deep Reinforcement Learning algorithms
This paper makes one step forward towards characterizing a new family of...
research
∙
09/30/2018
Deep Quality-Value (DQV) Learning
We introduce a novel Deep Reinforcement Learning (DRL) algorithm called ...
research
∙
09/15/2018
