policy gradient

Ranking Policy Gradient ICLR 2020 Reinforced Molecular Optimization with Neighborhood-Controlled Grammars NeurIPS 2020 Reinforcement Learning When All Actions Are Not Always Available AAAI 2020 Reinforcing an Image Caption Generator Using Off-Line Human Feedback AAAI 2020 Risk-Averse Trust Region Optimization for Reward-Volatility Reduction IJCAI 2020 Robust Multi-Agent Reinforcement Learning with Model Uncertainty NeurIPS 2020 Safe Policy Learning for Continuous Control CoRL 2020 Sample Complexity of Estimating the Policy Gradient for Nearly Deterministic Dynamical Systems AISTATS 2020 Sample Efficient Policy Gradient Methods with Recursive Variance Reduction ICLR 2020 SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference ICLR 2020 Semi-Supervised Learning for Video Captioning EMNLP 2020 Stabilizing Transformers for Reinforcement Learning ICML 2020 State Alignment-based Imitation Learning ICLR 2020 Statistically Efficient Off-Policy Policy Gradients ICML 2020 Steady State Analysis of Episodic Reinforcement Learning NeurIPS 2020 Sub-Goal Trees a Framework for Goal-Based Reinforcement Learning ICML 2020 Sub-policy Adaptation for Hierarchical Reinforcement Learning ICLR 2020 TaylorGAN: Neighbor-Augmented Policy Update Towards Sample-Efficient Natural Language Generation NeurIPS 2020 Tree-Structured Policy Based Progressive Reinforcement Learning for Temporally Language Grounding in Video AAAI 2020 Uncorrected Least-Squares Temporal Difference with Lambda-Return AAAI 2020 Variance Reduction for Evolution Strategies via Structured Control Variates AISTATS 2020 Variational Policy Gradient Method for Reinforcement Learning with General Utilities NeurIPS 2020 AdaFrame: Adaptive Frame Selection for Fast Video Recognition CVPR 2019 An Improved Convergence Analysis of Stochastic Variance-Reduced Policy Gradient UAI 2019 ARAML: A Stable Adversarial Training Framework for Text Generation EMNLP 2019