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May 25, 2021 · We develop a method that combines imitation learning, single- and multi-agent reinforcement learning and population-based training, and makes ...
Aug 31, 2022 · In this work, we have developed a method for learning integrated behavior spanning multiple scales, ranging from sophisticated motor skills to ...
Aug 31, 2022 · We optimized teams of agents to play simulated football via reinforcement learning, constraining the solution space to that of plausible ...
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It is designed to embed sophisticated motor control in a task that requires context dependent behaviour, multi-scale decision making, and multi-agent ...
The paper applies the theory of self-organising systems to sport. The central hypothesis is that team play, implemented as passing in football, is the central ...
May 28, 2021 · "From Motor Control to Team Play in Simulated Humanoid Football", Liu et al 2021 {DM} (curriculum training of a single NN from raw humanoid ...
Sep 1, 2022 · The research was detailed in a study, titled 'From motor control to team play in simulated humanoid football', published in the journal Science ...
From Motor Control to Team Play in Simulated Humanoid Football. soccer ... The environment provides a reward of +1 to each player when their team ...
Aug 31, 2022 · Using human and animal motions to teach robots to dribble a ball, and simulated humanoid characters to carry boxes and play football.