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lawrence_francis
Lawrence Francis
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Challenges Entered
Multi-Agent Dynamics & Mixed-Motive Cooperation
Latest submissions
Interactive embodied agents for Human-AI collaboration
Latest submissions
See Allgraded | 198486 | ||
failed | 198485 | ||
failed | 197047 |
Training sample-efficient agents in Minecraft
Latest submissions
Multi-Agent RL for Trains
Latest submissions
Measure sample efficiency and generalization in reinforcement learning using procedurally generated environments
Latest submissions
See Allgraded | 68445 |
Multi-Agent Reinforcement Learning on Trains
Latest submissions
Sample-efficient reinforcement learning in Minecraft
Latest submissions
Multi Agent Reinforcement Learning on Trains.
Latest submissions
See Allfailed | 32209 | ||
graded | 31811 | ||
failed | 31502 |
Latest submissions
Robots that learn to interact with the environment autonomously
Latest submissions
Immitation Learning for Autonomous Driving
Latest submissions
Latest submissions
Multi-Agent Reinforcement Learning on Trains
Latest submissions
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flat_faith Flatland ChallengeView
Flatland Challenge
lawrence_francis has not provided any information yet.
Mean Reward and Mean Normalized Reward
Over 4 years agoHi everyone, I would like to know how the mean reward and the mean normalized rewards are calculated for the evaluations.