A benchmark study finds that increased randomization improves Sim2Real transfer in robotic RL despite trade-offs in simulation learning, with full randomization and fine-tuning outperforming other approaches on the real robot.
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
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Analysis of Randomization Effects on Sim2Real Transfer in Reinforcement Learning for Robotic Manipulation Tasks
A benchmark study finds that increased randomization improves Sim2Real transfer in robotic RL despite trade-offs in simulation learning, with full randomization and fine-tuning outperforming other approaches on the real robot.