Skip to content
conftrace_

policy gradient

651 papers

PG

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