policy gradient

Deep Reinforcement Learning with Robust and Smooth Policy ICML 2020 Differentiable Meta-Learning of Bandit Policies NeurIPS 2020 Discovering Reinforcement Learning Algorithms NeurIPS 2020 Discrete Action On-Policy Learning with Action-Value Critic AISTATS 2020 DISK: Learning local features with policy gradient NeurIPS 2020 DORB: Dynamically Optimizing Multiple Rewards with Bandits EMNLP 2020 Doubly Robust Off-Policy Value and Gradient Estimation for Deterministic Policies NeurIPS 2020 Enhancing Content Planning for Table-to-Text Generation with Data Understanding and Verification EMNLP 2020 ES-MAML: Simple Hessian-Free Meta Learning ICLR 2020 Expected Policy Gradients for Reinforcement Learning JMLR 2020 Experimental design for MRI by greedy policy search NeurIPS 2020 Fast computation of Nash Equilibria in Imperfect Information Games ICML 2020 From Importance Sampling to Doubly Robust Policy Gradient ICML 2020 Generative Adversarial Regularized Mutual Information Policy Gradient Framework for Automatic Diagnosis AAAI 2020 Google Research Football: A Novel Reinforcement Learning Environment AAAI 2020 Gradient-Aware Model-Based Policy Search AAAI 2020 Hierarchical Average Reward Policy Gradient Algorithms (Student Abstract) AAAI 2020 Hierarchical Reinforcement Learning for Open-Domain Dialog AAAI 2020 How to Learn a Useful Critic? Model-based Action-Gradient-Estimator Policy Optimization NeurIPS 2020 I4R: Promoting Deep Reinforcement Learning by the Indicator for Expressive Representations IJCAI 2020 Implementation Matters in Deep RL: A Case Study on PPO and TRPO ICLR 2020 Implicit Distributional Reinforcement Learning NeurIPS 2020 Improving Robustness via Risk Averse Distributional Reinforcement Learning L4DC 2020 Improving Sample Complexity Bounds for (Natural) Actor-Critic Algorithms NeurIPS 2020 Independent Policy Gradient Methods for Competitive Reinforcement Learning NeurIPS 2020