Add to ORKGReinforcement Learning research is traditionally devoted to solve single-task problems. Therefore, anytime a new task is faced, learning must be restarted from scratch. Recently, several studies have addressed the issue of reusing the knowl-edge acquired in solving previous related tasks by transfer-ring information about policies and value functions. In this paper, we analyze the use of proto-value functions under the transfer learning perspective. Proto-value functions are effective basis functions for the approximation of value func-tions defined over the graph obtained by a random walk on the environment. The definition of this graph is a key as-pect in transfer transfer problems in which both the reward function and the dynamics change...
In this paper we investigate the relation between transfer learning in reinforcement learning with f...
Transfer learning has recently gained popularity due to the development of algorithms that can succe...
The main objective of Transfer Learning is to reuse knowledge acquired in a previous learned task, i...
Ai miei genitori Transfer learning is a process that occurs when learning in one context af-fects th...
In reinforcement learning (RL), an important sub-problem is learning the value function, which is ch...
In this paper we introduce proto-transfer leaning, a new framework for transfer learning. We explore...
The goal of transfer learning algorithms is to utilize knowledge gained in a source task to speed up...
The goal of transfer learning algorithms is to utilize knowledge gained in a source task to speed up...
This paper presents a novel framework called proto-reinforcement learning (PRL), based on a mathemat...
This article addresses a particular Transfer Reinforcement Learning (RL) problem: when dynamics do n...
Transfer learning concerns applying knowledge learned in one task (the source) to improve learning a...
Transfer learning concerns applying knowledge learned in one task (the source) to improve learning a...
This work proposes an approach based on reward shaping techniques in a reinforcement learning setti...
Abstract Transfer in reinforcement learning is a novel research area that focuses on the development...
Transfer in machine learning is the process of using knowledge learned in a source domain to speedup...
In this paper we investigate the relation between transfer learning in reinforcement learning with f...
Transfer learning has recently gained popularity due to the development of algorithms that can succe...
The main objective of Transfer Learning is to reuse knowledge acquired in a previous learned task, i...
Ai miei genitori Transfer learning is a process that occurs when learning in one context af-fects th...
In reinforcement learning (RL), an important sub-problem is learning the value function, which is ch...
In this paper we introduce proto-transfer leaning, a new framework for transfer learning. We explore...
The goal of transfer learning algorithms is to utilize knowledge gained in a source task to speed up...
The goal of transfer learning algorithms is to utilize knowledge gained in a source task to speed up...
This paper presents a novel framework called proto-reinforcement learning (PRL), based on a mathemat...
This article addresses a particular Transfer Reinforcement Learning (RL) problem: when dynamics do n...
Transfer learning concerns applying knowledge learned in one task (the source) to improve learning a...
Transfer learning concerns applying knowledge learned in one task (the source) to improve learning a...
This work proposes an approach based on reward shaping techniques in a reinforcement learning setti...
Abstract Transfer in reinforcement learning is a novel research area that focuses on the development...
Transfer in machine learning is the process of using knowledge learned in a source domain to speedup...
In this paper we investigate the relation between transfer learning in reinforcement learning with f...
Transfer learning has recently gained popularity due to the development of algorithms that can succe...
The main objective of Transfer Learning is to reuse knowledge acquired in a previous learned task, i...