Reinforcement Learning

Deep Symbolic Superoptimization Without Human Knowledge ICLR 2020 DeepWeave: Accelerating Job Completion Time with Deep Reinforcement Learning-based Coflow Scheduling IJCAI 2020 Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems JMLR 2020 Designing Optimal Dynamic Treatment Regimes: A Causal Reinforcement Learning Approach ICML 2020 Determining the Possibility of Transfer Learning in Deep Reinforcement Learning Using Grad-CAM (Student Abstract) AAAI 2020 Deterministic Value-Policy Gradients AAAI 2020 Dialog State Tracking with Reinforced Data Augmentation AAAI 2020 Direct Policy Gradients: Direct Optimization of Policies in Discrete Action Spaces NeurIPS 2020 Disagreement-Regularized Imitation Learning ICLR 2020 DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction NeurIPS 2020 Discount Factor as a Regularizer in Reinforcement Learning ICML 2020 Discovering Motor Programs by Recomposing Demonstrations ICLR 2020 Discovering Reinforcement Learning Algorithms NeurIPS 2020 Discrete Action On-Policy Learning with Action-Value Critic AISTATS 2020 Discretizing Continuous Action Space for On-Policy Optimization AAAI 2020 DISK: Learning local features with policy gradient NeurIPS 2020 Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach L4DC 2020 Distributionally Robust Policy Evaluation and Learning in Offline Contextual Bandits ICML 2020 Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making ICML 2020 Domain Adaptive Imitation Learning ICML 2020 Don’t Read Too Much Into It: Adaptive Computation for Open-Domain Question Answering EMNLP 2020 DORB: Dynamically Optimizing Multiple Rewards with Bandits EMNLP 2020 Double-Oracle Sampling Method for Stackelberg Equilibrium Approximation in General-Sum Extensive-Form Games AAAI 2020 Double Reinforcement Learning for Efficient and Robust Off-Policy Evaluation ICML 2020 Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes JMLR 2020