Methods

DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction NeurIPS 2020 Discount Factor as a Regularizer in Reinforcement Learning ICML 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 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 Doubly Robust Off-Policy Value and Gradient Estimation for Deterministic Policies NeurIPS 2020 Dream to Control: Learning Behaviors by Latent Imagination ICLR 2020 Dual Policy Distillation IJCAI 2020 Dueling Posterior Sampling for Preference-Based Reinforcement Learning UAI 2020 Dynamic Context Selection for Document-level Neural Machine Translation via Reinforcement Learning EMNLP 2020 Dynamic Control of Stochastic Evolution: A Deep Reinforcement Learning Approach to Adaptively Targeting Emergent Drug Resistance JMLR 2020 Dynamic Face Video Segmentation via Reinforcement Learning CVPR 2020 Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising ICML 2020 Dynamic Multi-Robot Task Allocation under Uncertainty and Temporal Constraints RSS 2020 Dynamic Regret of Policy Optimization in Non-Stationary Environments NeurIPS 2020 Dynamic Reward-Based Dueling Deep Dyna-Q: Robust Policy Learning in Noisy Environments AAAI 2020