513 search results - page 20 / 103 » Metric learning for reinforcement learning agents |
118
Voted
ROBOCUP
2005
Springer
15 years 6 months ago
2005
Springer
The existing reinforcement learning approaches have been suffering from the policy alternation of others in multiagent dynamic environments. A typical example is a case of RoboCup...
95
Voted
ROBOCUP
2007
Springer
15 years 6 months ago
2007
Springer
This paper describes the design and implementation of robotic agents for the RoboCup Simulation 2D category that learns using a recently proposed Heuristic Reinforcement Learning a...
85
Voted
AI
2001
Springer
15 years 5 months ago
2001
Springer
Reinforcement learning techniques are increasingly being used to solve di cult problems in control and combinatorial optimization with promising results. Implicit imitation can acc...
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
This paper investigates the problem of automatically learning how to restructure the reward function of a Markov decision process so as to speed up reinforcement learning. We begi...
97
Voted
ATAL
2008
Springer
15 years 2 months ago
2008
Springer
The aim of transfer learning is to accelerate learning in related domains. In reinforcement learning, many different features such as a value function and a policy can be transfer...