Raphaël Boige
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AlphaBeta is not as good as you think: a simple random game model for a better analysis of deterministic game-solving algorithms Open
International audience
AlphaBeta is not as good as you think: a simple random games model for a better analysis of deterministic game-solving algorithms Open
Deterministic game-solving algorithms are conventionally analyzed in the light of their average-case complexity against a distribution of random game-trees, where leaf values are independently sampled from a fixed distribution. This simpli…
AlphaBeta is not as good as you think: a simple random games model for a better analysis of deterministic game-solving algorithms Open
Deterministic game-solving algorithms are conventionally analyzed in the light of their average-case complexity against a distribution of random game-trees, where leaf values are independently sampled from a fixed distribution. This simpli…
The Quality-Diversity Transformer: Generating Behavior-Conditioned Trajectories with Decision Transformers Open
International audience
The Quality-Diversity Transformer: Generating Behavior-Conditioned Trajectories with Decision Transformers Open
In the context of neuroevolution, Quality-Diversity algorithms have proven effective in generating repertoires of diverse and efficient policies by relying on the definition of a behavior space. A natural goal induced by the creation of su…