LIBERO is a new benchmark for lifelong robot learning that evaluates transfer of declarative, procedural, and mixed knowledge across 130 manipulation tasks with provided demonstration data.
Lifelong reinforcement learning with modulating masks
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Synaptic consolidation applied to multi-timescale successor features yields better performance than plasticity-focused methods in RL under gradual environmental drift.
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LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning
LIBERO is a new benchmark for lifelong robot learning that evaluates transfer of declarative, procedural, and mixed knowledge across 130 manipulation tasks with provided demonstration data.
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Balancing Plasticity and Stability with Fast and Slow Successor Features
Synaptic consolidation applied to multi-timescale successor features yields better performance than plasticity-focused methods in RL under gradual environmental drift.