19 search results - page 2 / 4 » Reinforcement Learning with Long Short-Term Memory |
NECO
2002
13 years 7 months ago
2002
In response to Rodriguez' recent article (2001) we compare the performance of simple recurrent nets and "Long Short-Term Memory" (LSTM) recurrent nets on context-fr...
ESANN
2006
13 years 8 months ago
2006
This paper is the first of a two paper series that deals with an important problem in on-line learning mechanisms for autonomous agents that must perform non trivial tasks and oper...
NCI
2004
13 years 8 months ago
2004
In this paper we demonstrate that Long Short-Term Memory (LSTM) is a differentiable recurrent neural net (RNN) capable of robustly categorizing timewarped speech data. We measure ...
ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
POMDPs are the models of choice for reinforcement learning (RL) tasks where the environment cannot be observed directly. In many applications we need to learn the POMDP structure ...
SGAI
2010
Springer
13 years 5 months ago
2010
Springer
This paper presents work on using hierarchical long term memory to reduce the memory requirements of nearest sequence memory (NSM) learning, a previously published, instance-based ...