METTA adapts meta-RL agents with two-scale neural memory
On held-out Meta-World ML10/45 environments, METTA reports a success rate over 50% at a low training budget.
2 stories, newest first · one card per story
On held-out Meta-World ML10/45 environments, METTA reports a success rate over 50% at a low training budget.
The paper reports gains of up to 16.30% on LIBERO and Meta-World and up to 14% over π0.5 in real-world tests.
Today 384 readers · 425 views · 38 reads · all time 109K views