Commonsense Rl On Commonsense Rl

Avg #Steps

Résultats

Résultats de performance de divers modèles sur ce benchmark

		Paper Title
KG-A2C	49.36 ± 7.50	Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines
LSTM-A2C	49.21 ± 0.58	Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines
TNC-A2C	43.27 ± 0.70	Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines
Human	15.00 ± 3.29	Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines
Optimal	15.00 ± 2.00	Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines

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