Co-occurring keywords · papers mentioning both
Papers
Extending Model-based Policy Gradients for Robots in Heteroscedastic Environments
CoRL 2017
Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning
NeurIPS 2017
Learning to Skim Text
ACL 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
NeurIPS 2017
Policy Gradient With Value Function Approximation For Collective Multiagent Planning
NeurIPS 2017
Reinforced Video Captioning with Entailment Rewards
EMNLP 2017
Self-Critical Sequence Training for Image Captioning
CVPR 2017
Teaching Machines to Describe Images with Natural Language Feedback
NeurIPS 2017
The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously
CoRL 2017
Trainable Greedy Decoding for Neural Machine Translation
EMNLP 2017
Uncertainty-driven Imagination for Continuous Deep Reinforcement Learning
CoRL 2017
Adaptive optimal training of animal behavior
NeurIPS 2016
Bayesian Policy Gradient and Actor-Critic Algorithms
JMLR 2016
Benchmarking Deep Reinforcement Learning for Continuous Control
ICML 2016
Guided Policy Search via Approximate Mirror Descent
NeurIPS 2016
Model-Free Imitation Learning with Policy Optimization
ICML 2016
Learning Continuous Control Policies by Stochastic Value Gradients
NeurIPS 2015
Policy Gradient for Coherent Risk Measures
NeurIPS 2015
Regularized Policy Gradients: Direct Variance Reduction in Policy Gradient Estimation
ACML 2015
Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret
ICML 2015
Sample Complexity Bounds for Iterative Stochastic Policy Optimization
NeurIPS 2015
Trust Region Policy Optimization
ICML 2015
Algorithms for CVaR Optimization in MDPs
NeurIPS 2014
Bias in Natural Actor-Critic Algorithms
ICML 2014
Online Multi-Task Learning for Policy Gradient Methods
ICML 2014