Gotta Learn Fast: A New Benchmark for Generalization in RL
arXiv:1804.03720v2186 citations
Originality Synthesis-oriented
AI Analysis
This provides a domain-specific tool for evaluating generalization in RL, but it is incremental as it adapts existing concepts to a new dataset.
The authors introduced a new reinforcement learning benchmark using Sonic the Hedgehog games to measure transfer and few-shot learning performance, and they evaluated baseline algorithms on it.
In this report, we present a new reinforcement learning (RL) benchmark based on the Sonic the Hedgehog (TM) video game franchise. This benchmark is intended to measure the performance of transfer learning and few-shot learning algorithms in the RL domain. We also present and evaluate some baseline algorithms on the new benchmark.