conftrace_
← Core AI
Artificial Intelligence › Core AI ›

Safety

414 papers

Papers per year

1
1
4
8
11
21
29
36
87
117
99

Papers

Linear Stochastic Bandits Under Safety Constraints NIPS 2019
Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers NIPS 2019
Convergent Policy Optimization for Safe Reinforcement Learning NIPS 2019
Certifying Geometric Robustness of Neural Networks NIPS 2019
End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks AAAI 2019
Towards Reliable Learning for High Stakes Applications AAAI 2019
Probabilistic Model Checking of Robots Deployed in Extreme Environments AAAI 2019
Why ReLU Networks Yield High-Confidence Predictions Far Away From the Training Data and How to Mitigate the Problem CVPR 2019
Constrained Cross-Entropy Method for Safe Reinforcement Learning NIPS 2018
Scaling provable adversarial defenses NIPS 2018
A Lyapunov-based Approach to Safe Reinforcement Learning NIPS 2018
Learning Safe Policies with Expert Guidance NIPS 2018
Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation NIPS 2017
Safe Exploration in Finite Markov Decision Processes with Gaussian Processes NIPS 2016