Jul 7, 2022 · In this work, we propose the use of Reinforcement Learning to solve both control and strategic problems as one, in a multi-agent robotic soccer environment.
In this work, we propose the use of Reinforcement Learning to solve both control and strategic problems as one, in a multi-agent robotic soccer environment. We ...
Our methodology uses multi- agent Reinforcement Learning with self-play in order to build up the knowledge for complex tasks. We also developed a simulated ...
People also ask
What is an example of reinforcement learning in robotics?
What is an example of multi agent reinforcement learning?
When to use multi-agent reinforcement learning?
Multiagent Reinforcement Learning for Strategic Decision Making and Control in Robotic Soccer Through Self-Play · BRUNO BRANDÃO et. al.
Maximo, “Multiagent reinforcement learning for strategic decision making and control in robotic soccer through self-play,” IEEE Access, vol. 10, pp. 72 628 ...
Multiagent reinforcement learning for strategic decision making and control in robotic soccer through self-play. B Brandão, TW De Lima, A Soares, L Melo ...
Reinforcement learning (RL) significantly enhances decision-making in robotic soccer games by enabling robots to learn and adapt strategies dynamically in ...
In this paper, a multi-agent reinforcement learning method based on action prediction of other agent is proposed. In a multi-agent system, action selection ...
In this paper, the reward function is desired to guide the learning of cooperative offensive for soccer robots.
In this paper, a multi-agent reinforcement learning method based on action prediction of other agent is proposed. In a multi-agent system, action selection ...