trust region

Local Latent Space Bayesian Optimization over Structured Inputs NeurIPS 2022 Mirror Descent Policy Optimization ICLR 2022 TRGP: Trust Region Gradient Projection for Continual Learning ICLR 2022 Average-Reward Reinforcement Learning with Trust Region Methods IJCAI 2021 Better Fine-Tuning by Reducing Representational Collapse ICLR 2021 Efficient Wasserstein Natural Gradients for Reinforcement Learning ICLR 2021 TrustMAE: A Noise-Resilient Defect Classification Framework Using Memory-Augmented Auto-Encoders With Trust Regions WACV 2021 Uncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region Approach AAAI 2021 Constrained Markov Decision Processes via Backward Value Functions ICML 2020 Convex optimization based on global lower second-order models NeurIPS 2020 Off-Policy Actor-Critic with Shared Experience Replay ICML 2020 Optimistic Policy Optimization with Bandit Feedback ICML 2020 Trust-Region Variational Inference with Gaussian Mixture Models JMLR 2020 Exploiting the Sign of the Advantage Function to Learn Deterministic Policies in Continuous Domains IJCAI 2019 Remember and Forget for Experience Replay ICML 2019 Truly Proximal Policy Optimization UAI 2019 Trust Region Evolution Strategies AAAI 2019 Trust Region-Guided Proximal Policy Optimization NeurIPS 2019 Trust Region Sequential Variational Inference ACML 2019 A Distributed Second-Order Algorithm You Can Trust ICML 2018 Analysis of Krylov Subspace Solutions of Regularized Non-Convex Quadratic Problems NeurIPS 2018 Adaptive and Move Making Auxiliary Cuts for Binary Pairwise Energies CVPR 2017 Newton-Type Methods for Inference in Higher-Order Markov Random Fields CVPR 2017 Efficient Point Process Inference for Large-Scale Object Detection CVPR 2016 A trust-region method for stochastic variational inference with applications to streaming data ICML 2015