Beyond Temporal Proximity: Explanatory World Models for Credit Assignment in Reinforcement Learning
Explanatory World Models reassign delayed RL credit and beat PPO and LaRe on long-horizon tasks.
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Explanatory World Models reassign delayed RL credit and beat PPO and LaRe on long-horizon tasks.
CARE certifies VLA inference accelerators so speedups stay inside a user-specified failure budget.
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