policy gradient

Non-Autoregressive Neural Machine Translation ICLR 2018 On Learning Intrinsic Rewards for Policy Gradient Methods NeurIPS 2018 Policy Gradient as a Proxy for Dynamic Oracles in Constituency Parsing ACL 2018 Policy Optimization as Wasserstein Gradient Flows ICML 2018 Policy Optimization by Genetic Distillation ICLR 2018 Recurrent Predictive State Policy Networks ICML 2018 Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling IJCAI 2018 Reinforcement Learning for Solving the Vehicle Routing Problem NeurIPS 2018 Risk-Constrained Reinforcement Learning with Percentile Risk Criteria JMLR 2018 Single-Agent Policy Tree Search With Guarantees NeurIPS 2018 Smoothed Action Value Functions for Learning Gaussian Policies ICML 2018 Stochastic Variance-Reduced Policy Gradient ICML 2018 The Mirage of Action-Dependent Baselines in Reinforcement Learning ICML 2018 The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning ICLR 2018 Total stochastic gradient algorithms and applications in reinforcement learning NeurIPS 2018 Toward Diverse Text Generation with Inverse Reinforcement Learning IJCAI 2018 Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines ICLR 2018 Adaptive Batch Size for Safe Policy Gradients NeurIPS 2017 Adversarial Ranking for Language Generation NeurIPS 2017 Cold-Start Reinforcement Learning with Softmax Policy Gradient NeurIPS 2017 Compatible Reward Inverse Reinforcement Learning NeurIPS 2017 Deep 360 Pilot: Learning a Deep Agent for Piloting Through 360deg Sports Videos CVPR 2017 Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction ICML 2017 End-to-End Differentiable Adversarial Imitation Learning ICML 2017 End-to-end optimization of goal-driven and visually grounded dialogue systems IJCAI 2017