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Found 2 papers, 1 papers with code
Reasoning with Latent Diffusion in Offline Reinforcement Learning
However, a key challenge in offline RL lies in effectively stitching portions of suboptimal trajectories from the static dataset while avoiding extrapolation errors arising due to a lack of support in the dataset.
State Dropout-Based Curriculum Reinforcement Learning for Self-Driving at Unsignalized Intersections
In this work, we address the problem of traversing unsignalized intersections using a novel curriculum for deep reinforcement learning.
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