Simultaneous Adversarial Multi-Robot Learning

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How researchers see this paper

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The Hanabi Challenge: A New Frontier for AI Research (2019, background): “Several years of work on MARL gave rise to many algorithms, extensions, and analyses [59, 60, 61, 62, 63].”
Model-Free reinforcement learning with continuous action in practice (2012, unknown): “The first work with real-time reinforcement learning on a conventional mobile robot seems to have been that by Bowling and Veloso in 2003 [7].”
Reinforcement learning for sensing strategies (2004, background): “Furthermore, the system is highly non-linear and it is not clear how the different uncertainties affect the outcome of the actions, for example, of grabbing the ball or kicking it toward the goal.”
Sketch-Based Linear Value Function Approximation (2012, background): “In continuous-state RL domains, tile coding [23] is a canonical example of exhaustive feature generation; tile coding has been successfully applied to benchmark domains [22], to learn to play keepaway soccer [20], in multiagent robot learning [4], to train bipedal robots to walk [18, 24] and to lear”