Results 261 to 270 of about 34,803,504 (287)

Model-Based Reinforcement Learning

2011
Reinforcement Learning (RL) refers to learning to behave optimally in a stochastic environment by taking actions and receiving rewards (Sutton and Barto 1998). The environment is assumed Markovian in that there is a fixed probability of the next state given the current state and the agent’s action.
Soumya Ray, Prasad Tadepalli
openaire   +1 more source

A comparison of direct and model-based reinforcement learning

Proceedings of International Conference on Robotics and Automation, 2002
This paper compares direct reinforcement learning (no explicit model) and model-based reinforcement learning on a simple task: pendulum swing up. We find that in this task model-based approaches support reinforcement learning from smaller amounts of training data and efficient handling of changing goals.
Christopher G. Atkeson, Juan Carlos Santamaría   +1 more
openaire   +1 more source

Model-based function approximation in reinforcement learning

Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems, 2007
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains difficult, a few impressive success stories notwithstanding. Most interesting agent-environment systems have large state spaces, so performance depends crucially on efficient ...
Nicholas K. Jong, Peter Stone 0001
openaire   +2 more sources

Model-Based Reinforcement Learning in a Complex Domain

2008
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the environment. Model-freealgorithms perform updates solely bas ed on observed experiences.
Shivaram Kalyanakrishnan, Peter Stone 0001, Yaxin Liu   +2 more
openaire   +2 more sources

Model-Based Reinforcement Learning

2022
Jun Liu, Milad Farsi
openaire   +2 more sources

MBRL-MC: An HVAC Control Approach via Combining Model-Based Deep Reinforcement Learning and Model Predictive Control

IEEE Internet of Things Journal, 2022
Fei Meng, Liangliang Chen
exaly  

Model-Reference Reinforcement Learning for Collision-Free Tracking Control of Autonomous Surface Vehicles

IEEE Transactions on Intelligent Transportation Systems, 2022
Wei Pan, Qingrui Zhang, Vasso Reppa
exaly  

Delay-aware model-based reinforcement learning for continuous control

Neurocomputing, 2021
Mengdi Xu, Ding Zhao
exaly  

Comparison of reinforcement learning and model predictive control for building energy system optimization

Applied Thermal Engineering, 2023
Zhe Wang, Yaran Wang, Wanfu Zheng
exaly  

Model Predictive Control of Quadruped Robot Based on Reinforcement Learning

Applied Sciences (Switzerland), 2023
Zhitong Zhang
exaly