conftrace_

policy search

87 papers

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Co-occurring keywords

reinforcement learning (4352) policy optimization (657) markov decision process (790) bayesian optimization (624) model-based reinforcement learning (415) continuous control (246) gaussian process (1200) data augmentation (3052) policy gradient (520) black-box optimization (183)

Papers

Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation UAI 2020
Learning to Model Opponent Learning (Student Abstract) AAAI 2020
Learning to Auto Weight: Entirely Data-Driven and Highly Efficient Weighting Framework AAAI 2020
BayesSim: Adaptive Domain Randomization Via Probabilistic Inference for Robotics Simulators RSS 2019
Bayesian Optimization for Policy Search via Online-Offline Experimentation JMLR 2019
Automatically Learning Data Augmentation Policies for Dialogue Tasks IJCNLP 2019
Transfer of Samples in Policy Search via Multiple Importance Sampling ICML 2019
AutoAugment: Learning Augmentation Strategies From Data CVPR 2019
Guided Meta-Policy Search NIPS 2019
Deep Reactive Policies for Planning in Stochastic Nonlinear Domains AAAI 2019
Automatically Learning Data Augmentation Policies for Dialogue Tasks EMNLP 2019
Efficient Gradient-Free Variational Inference using Policy Search ICML 2018
PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos ICML 2018
Fast Model Identification via Physics Engines for Data-Efficient Policy Search IJCAI 2018
PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making IJCAI 2018
Policy Optimization via Importance Sampling NIPS 2018
Meta-Reinforcement Learning of Structured Exploration Strategies NIPS 2018
A Block Coordinate Ascent Algorithm for Mean-Variance Optimization NIPS 2018
No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling ACL 2018
Domain Randomization for Simulation-Based Policy Optimization with Transferability Assessment CORL 2018
Expanding Motor Skills using Relay Networks CORL 2018
Programmatically Interpretable Reinforcement Learning ICML 2018
Data-Efficient Policy Evaluation Through Behavior Policy Search ICML 2017
A Covariance Matrix Adaptation Evolution Strategy for Direct Policy Search in Reproducing Kernel Hilbert Space ACML 2017
Contextual Covariance Matrix Adaptation Evolutionary Strategies IJCAI 2017