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lawrence_francis
Lawrence Francis

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Lagos, NG

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Challenges Entered

Multi-Agent Dynamics & Mixed-Motive Cooperation

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Interactive embodied agents for Human-AI collaboration

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graded 198486
failed 198485
failed 197047

ASCII-rendered single-player dungeon crawl game

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graded 153545

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Measure sample efficiency and generalization in reinforcement learning using procedurally generated environments

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graded 68445

Multi-Agent Reinforcement Learning on Trains

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Sample-efficient reinforcement learning in Minecraft

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Sample-efficient reinforcement learning in Minecraft

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failed 11274

Multi Agent Reinforcement Learning on Trains.

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failed 32209
graded 31811
failed 31502

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Robots that learn to interact with the environment autonomously

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Multi-Agent Reinforcement Learning on Trains

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Flatland Challenge

Mean Reward and Mean Normalized Reward

Over 4 years ago

Hi everyone, I would like to know how the mean reward and the mean normalized rewards are calculated for the evaluations.

lawrence_francis has not provided any information yet.