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Found 4 papers, 1 papers with code
Guaranteed Trust Region Optimization via Two-Phase KL Penalization
Then, we show that introducing a "fixup" phase is sufficient to guarantee a trust region is enforced on every policy update while adding fewer than 5% additional gradient steps in practice.
Conditionally Combining Robot Skills using Large Language Models
This paper combines two contributions.
A Simple Approach to Continual Learning by Transferring Skill Parameters
We take a fresh look at this problem, by considering a setting in which the robot is limited to storing that knowledge and experience only in the form of learned skill policies.
Towards Exploiting Geometry and Time for Fast Off-Distribution Adaptation in Multi-Task Robot Learning
We explore possible methods for multi-task transfer learning which seek to exploit the shared physical structure of robotics tasks.
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