Efficient Reinforcement Learning in Continuous Environments

@inproceedings{AlAnsari2001EfficientRL,
  title={Efficient Reinforcement Learning in Continuous Environments},
  author={Mohammad A. Al-Ansari},
  year={2001}
}
Reinforcement Learning (RL) is a machine learning paradigm with which autonomous agents can improve their behavior in unknown environments based on their own experience without an explicit teacher signal. RL algorithms are based on estimating a value function over the state space, and scaling them to large state spaces remains a challenge. One approach… CONTINUE READING