2108 search results - page 242 / 422 » Tracking in Reinforcement Learning |
115
Voted
ICML
2001
IEEE
16 years 1 months ago
2001
IEEE
Direct policy search is a practical way to solve reinforcement learning problems involving continuous state and action spaces. The goal becomes finding policy parameters that maxi...
100
Voted
ECML
2007
Springer
15 years 6 months ago
2007
Springer
We present Policy Gradient Actor-Critic (PGAC), a new model-free Reinforcement Learning (RL) method for creating limited-memory stochastic policies for Partially Observable Markov ...
118
Voted
ACSE
2000
ACM
15 years 4 months ago
2000
ACM
The University of Queensland has recently established a new design-focused, studio-based IT degree at a new “flexible-learning” campus. The Bachelor of Information Environment...
107
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ICCS
1993
Springer
15 years 4 months ago
1993
Springer
Adaptive predictive search (APS), is a learning system framework, which given little initial domain knowledge, increases its decision-making abilities in complex problems domains....
124
Voted
NIPS
2008
15 years 2 months ago
2008
Policy gradient (PG) reinforcement learning algorithms have strong (local) convergence guarantees, but their learning performance is typically limited by a large variance in the e...