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Found 3 papers, 0 papers with code
Composing Efficient, Robust Tests for Policy Selection
Empirical results demonstrate that RPOSST finds a small set of test cases that identify high quality policies in a toy one-shot game, poker datasets, and a high-fidelity racing simulator.
Value Function Decomposition for Iterative Design of Reinforcement Learning Agents
These value estimates provide insight into an agent's learning and decision-making process and enable new training methods to mitigate common problems.
Analysis and Observations from the First Amazon Picking Challenge
This paper presents a overview of the inaugural Amazon Picking Challenge along with a summary of a survey conducted among the 26 participating teams.
Robotics
