11 search results - page 2 / 3 » Reinforcement Learning Via Practice and Critique Advice |
ICML
2009
IEEE
14 years 6 months ago
2009
IEEE
We cast model-free reinforcement learning as the problem of maximizing the likelihood of a probabilistic mixture model via sampling, addressing both the infinite and finite horizo...
WSC
2008
13 years 7 months ago
2008
Reinforcement Learning (RL) is a simulation-based technique useful in solving Markov decision processes if their transition probabilities are not easily obtainable or if the probl...
SIGCSE
2000
ACM
13 years 9 months ago
2000
ACM
Empirical skills are playing an increasingly important role in the computing profession and our society. But while traditional computer science curricula are effective in teaching...
PKDD
2010
Springer
13 years 3 months ago
2010
Springer
Abstract. We present an implementation of model-based online reinforcement learning (RL) for continuous domains with deterministic transitions that is specifically designed to achi...
AAAI
2006
13 years 6 months ago
2006
Reinforcement learning problems are commonly tackled with temporal difference methods, which attempt to estimate the agent's optimal value function. In most real-world proble...