Congratulations to Team SSP for winning the final Reinforcement Learning course competition with their SAC (Soft Actor Critic) agent.
Team SSP won this years Reinforcement Learning competition - the final project of our RL course taught at Eberhard-Karls-University Tübingen.
The competition took place in the Laser Hockey Environment which can be found on our Git repository!
Our goal is to understand the principles of Perception, Action and Learning in autonomous systems that successfully interact with complex environments and to use this understanding to design future systems
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