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Found 3 papers, 2 papers with code
Learning to Play Foosball: System and Baselines
In this concern, we spotlight the automated Foosball table as an invaluable tool, possessing numerous desirable attributes, to serve as a demanding learning environment for advancing robotics and automation research.
Amplifying Exploration in Monte-Carlo Tree Search by Focusing on the Unknown
It strategically allocates computational resources to focus on promising segments of the search tree, making it a very attractive search algorithm in large search spaces.
Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations
Eventually, we analyze the learning behavior of the peers and observe their ability to rank the agents' performance within the study group and understand which agents give reliable advice.
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