multi-task policy
Recurrent Hypernetworks are Surprisingly Strong in Meta-RL
Deep reinforcement learning (RL) is notoriously impractical to deploy due to sample inefficiency.
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- Information Technology > Artificial Intelligence > Natural Language > Large Language Model (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (1.00)
Appendices A Symbol definition
By identifying the extrapolation error, BCQ restricts the action selection to be close actions taken in batch.
Multi-task Batch Reinforcement Learning with Metric Learning
We tackle the Multi-task Batch Reinforcement Learning problem.
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Technology: Information Technology > Artificial Intelligence > Machine Learning > Reinforcement Learning (1.00)
An Efficient Transformer for Multi-Task Policy Learning
Videos of the robot are best viewed at baku-robot.github.io.
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- Information Technology > Artificial Intelligence > Vision (1.00)
- Information Technology > Artificial Intelligence > Robots (1.00)
- Information Technology > Artificial Intelligence > Natural Language > Large Language Model (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (1.00)
Technology:
Country:
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.28)
- North America > United States > Massachusetts > Middlesex County > Cambridge (0.04)
- North America > United States > California > San Diego County > San Diego (0.04)
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