8 search results - page 1 / 2 » Temporal Difference Based Actor Critic Learning - Convergenc... |
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
Both genetic algorithms (GAs) and temporal difference (TD) methods have proven effective at solving reinforcement learning (RL) problems. However, since few rigorous empirical com...
ATAL
2005
Springer
13 years 9 months ago
2005
Springer
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
EPS
1995
Springer
13 years 7 months ago
1995
Springer
PANIC (Parallelism And Neural networks In Classifier systems) is a parallel system to evolve behavioral strategies codified by sets of rules. It integrates several adaptive techni...
EWRL
2008
13 years 6 months ago
2008
A wide variety of function approximation schemes have been applied to reinforcement learning. However, Bayesian filtering approaches, which have been shown efficient in other field...
EH
1999
IEEE
1999
IEEE
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
13 years 8 months ago
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...