51 search results - page 1 / 11 » Exponentiated Gradient Methods for Reinforcement Learning |
84
Voted
ICML
1997
IEEE
16 years 1 months ago
1997
IEEE
121
click to vote
IJCAI
2001
15 years 2 months 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...
108
Voted
IJCAI
2003
15 years 2 months ago
2003
We investigate the problem of non-covariant behavior of policy gradient reinforcement learning algorithms. The policy gradient approach is amenable to analysis by information geom...
115
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
Conditional log-linear models are a commonly used method for structured prediction. Efficient learning of parameters in these models is therefore an important problem. This paper ...
103
Voted
NIPS
2001
15 years 2 months ago
2001
Policy gradient methods for reinforcement learning avoid some of the undesirable properties of the value function approaches, such as policy degradation (Baxter and Bartlett, 2001...