1236 search results - page 47 / 248 » Opposition-Based Reinforcement Learning |
96
Voted
NIPS
2000
15 years 2 months ago
2000
We present an expressive agent design language for reinforcement learning that allows the user to constrain the policies considered by the learning process.The language includes s...
121
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...
105
Voted
ATAL
2009
Springer
15 years 7 months ago
2009
Springer
Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
117
Voted
ICML
1998
IEEE
16 years 1 months ago
1998
IEEE
This paper introduces the RL-TOPs architecture for robot learning, a hybrid system combining teleo-reactive planning and reinforcement learning techniques. The aim of this system ...
119
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IJCAI
2007
15 years 2 months ago
2007
Inverse Reinforcement Learning (IRL) is the problem of learning the reward function underlying a Markov Decision Process given the dynamics of the system and the behaviour of an e...