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Policy-Conditioned UncertaintySetsfor RobustMarkovDecisionProcesses
What policy should be employed in a Markov decision process with uncertain parameters?
Grasp as You Say: Language-guided Dexterous Grasp Generation Yi-Lin Wei
This paper explores a novel task "Dexterous Grasp as Y ou Say" (DexGYS), enabling robots to perform dexterous grasping based on human commands expressed
Trust Region-Guided Proximal Policy Optimization
Yuhui Wang, Hao He, Xiaoyang Tan, Yaozhong Gan
Deep model-free reinforcement learning has achieved great successes in recent years, notably in video games [11], board games [19], robotics [10], and challenging control tasks [17,5].
GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels
DiscGraph set captures wide-range and diverse graph data distribution discrepancies through a discrepancy measurement function, which exploits the outputs of GNNs related to latent node embeddings and node class predictions.
Combining Generative and Discriminative Models for Hybrid Inference
Victor Garcia Satorras, Zeynep Akata, Max Welling
Neural Information Processing Systems http://nips.cc/
Multi-objective Maximization of Monotone Submodular Functions with Cardinality Constraint
We first modify the algorithm of Chekuri et al. (2010) to achieve a(1 1/e) approximation for m=o( klog3k),with 0ask .
AI raises the stakes for national security. Here's how to get it right
AI regulation requires harmonization between state and federal approaches, but fragmented policies risk undermining US competitive advantage in this critical technology.
Learning Mixtures of Plackett-Luce Models from Structured Partial Orders
Neural Information Processing Systems http://nips.cc/
Mitigating Source Bias for Fairer Weak Supervision
Theoretically, we show that it is possible for our approach to simultaneously improve both accuracy and fairness--in contrast to standard fairness approaches that suffer from tradeoffs. Empirically, we show that our technique improves accuracy on weak supervision baselines by as much as 32% while reducing demographic parity gap by 82.5%.