R2R2 introduces a non-centered regularization objective for SPL that addresses conflicts with spectral properties, leading to better performance on continuous control tasks at high UTD ratios.
dm control: Software and tasks for continuous control
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The paper presents robosuite v1.5, a MuJoCo-based modular simulation framework with benchmark environments for reproducible robot learning research.
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R2R2: Robust Representation for Intensive Experience Reuse via Redundancy Reduction in Self-Predictive Learning
R2R2 introduces a non-centered regularization objective for SPL that addresses conflicts with spectral properties, leading to better performance on continuous control tasks at high UTD ratios.
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robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
The paper presents robosuite v1.5, a MuJoCo-based modular simulation framework with benchmark environments for reproducible robot learning research.