Search Results for author: Tilman Immisch

Found 1 papers, 1 papers with code

Map-based Experience Replay: A Memory-Efficient Solution to Catastrophic Forgetting in Reinforcement Learning

1 code implementation3 May 2023 Muhammad Burhan Hafez, Tilman Immisch, Tom Weber, Stefan Wermter

Our approach organizes stored transitions into a concise environment-model-like network of state-nodes and transition-edges, merging similar samples to reduce the memory size and increase pair-wise distance among samples, which increases the relevancy of each sample.

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