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approfondimento - Meta-Reinforcement Learning Methods
SplAgger: Split Aggregation for Meta-Reinforcement Learning by Beck et al.
The authors present SplAgger, a method that combines permutation variant and invariant components to enhance meta-reinforcement learning performance.
SplAgger: Split Aggregation for Meta-Reinforcement Learning
Task inference sequence models are beneficial in meta-RL, even without task inference objectives.
SplAgger: Split Aggregation for Meta-Reinforcement Learning
Task inference sequence models are beneficial in meta-RL, even without task inference objectives.
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