dynamic programming

Differentiable learning of numerical rules in knowledge graphs ICLR 2020 DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction NeurIPS 2020 Diversity of Solutions: An Exploration Through the Lens of Fixed-Parameter Tractability Theory IJCAI 2020 Dual Stochastic MPC for Systems with Parametric and Structural Uncertainty L4DC 2020 Dynamic Multi-Robot Task Allocation under Uncertainty and Temporal Constraints RSS 2020 Dynamic Programming Encoding for Subword Segmentation in Neural Machine Translation ACL 2020 Dynamic Programming for Predict+Optimise AAAI 2020 End-to-end learning of convolutional neural net and dynamic programming for left ventricle segmentation MIDL 2020 Imputer: Sequence Modelling via Imputation and Dynamic Programming ICML 2020 Lambda-Policy Iteration with Randomization for Contractive Models with Infinite Policies: Well-Posedness and Convergence L4DC 2020 Latent Belief Space Motion Planning under Cost, Dynamics, and Intent Uncertainty RSS 2020 Layering-MCMC for Structure Learning in Bayesian Networks UAI 2020 LazyIter: A Fast Algorithm for Counting Markov Equivalent DAGs and Designing Experiments ICML 2020 Learning to search efficiently for causally near-optimal treatments NeurIPS 2020 Multiagent Rollout and Policy Iteration for POMDP with Application to Multi-Robot Repair Problems CoRL 2020 Multi-step Greedy Reinforcement Learning Algorithms ICML 2020 Non-Autoregressive Machine Translation with Latent Alignments EMNLP 2020 Online Planning with Lookahead Policies NeurIPS 2020 Optimal Common Contract with Heterogeneous Agents AAAI 2020 Optimality, Accuracy, and Efficiency of an Exact Functional Test IJCAI 2020 Span-Based LCFRS-2 Parsing ACL 2020 Structural Decompositions of Epistemic Logic Programs AAAI 2020 Sub-Goal Trees a Framework for Goal-Based Reinforcement Learning ICML 2020 What Can Neural Networks Reason About? ICLR 2020 What time is it? Temporal Analysis of Novels EMNLP 2020