A multi-task multi-modal transformer policy pretrained on offline trajectories from thousands of RL environments matches task-specific reference policies on approximately 1000 environments spanning robotics, driving, inventory, cybersecurity, trading, and games.
Gen- eralization to new sequential decision making tasks with in-context learning.arXiv preprint arXiv:2312.03801,
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Towards Scalable Multi-Task Reinforcement Learning with Large Decision Models
A multi-task multi-modal transformer policy pretrained on offline trajectories from thousands of RL environments matches task-specific reference policies on approximately 1000 environments spanning robotics, driving, inventory, cybersecurity, trading, and games.