473 search results - page 1 / 95 » Optimal policy switching algorithms for reinforcement learni... |
46
Voted
ATAL
2010
Springer
14 years 9 months ago
2010
Springer
IJCAI
2001
15 years 6 days ago
2001
Most formulations of Reinforcement Learning depend on a single reinforcement reward value to guide the search for the optimal policy solution. If observation of this reward is rar...
94
Voted
ICML
1996
IEEE
15 years 3 months ago
1996
IEEE
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
IJCAI
2003
15 years 6 days ago
2003
We present a new algorithm, GM-Sarsa(0), for finding approximate solutions to multiple-goal reinforcement learning problems that are modeled as composite Markov decision processe...
AAAI
2000
15 years 6 days ago
2000
Reinforcement learning (RL) can be impractical for many high dimensional problems because of the computational cost of doing stochastic search in large state spaces. We propose a ...