Skip to content
conftrace_

dynamic programming

312 papers

DP

Papers

When does return-conditioned supervised learning work for offline reinforcement learning? NeurIPS 2022 Assignment-Space-Based Multi-Object Tracking and Segmentation ICCV 2021 Cluster Trellis: Data Structures & Algorithms for Exact Inference in Hierarchical Clustering AISTATS 2021 Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization AAAI 2021 Counterfactual Explanations in Sequential Decision Making Under Uncertainty NeurIPS 2021 Dynamic visualization for L1 fusion convex clustering in near-linear time UAI 2021 Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure AAAI 2021 Fast Approximate Dynamic Programming for Infinite-Horizon Markov Decision Processes NeurIPS 2021 Formalizing the Generalization-Forgetting Trade-off in Continual Learning NeurIPS 2021 Hamilton-Jacobi Deep Q-Learning for Deterministic Continuous-Time Systems with Lipschitz Continuous Controls JMLR 2021 Improved Algorithms for Allen's Interval Algebra: a Dynamic Programming Approach IJCAI 2021 Learning To Drive From a World on Rails ICCV 2021 Learning to Stop with Surprisingly Few Samples COLT 2021 Learning To Track Objects From Unlabeled Videos ICCV 2021 Localizing Changes in High-Dimensional Regression Models AISTATS 2021 Logical Team Q-learning: An approach towards factored policies in cooperative MARL AISTATS 2021 Minimax Regret for Stochastic Shortest Path NeurIPS 2021 Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes AAAI 2021 Noise Robust Pitch Stylization Using Minimum Mean Absolute Error Criterion Interspeech 2021 Optimization Planning for 3D ConvNets ICML 2021 PID Accelerated Value Iteration Algorithm ICML 2021 Piper: Multidimensional Planner for DNN Parallelization NeurIPS 2021 Provably Good Solutions to the Knapsack Problem via Neural Networks of Bounded Size AAAI 2021 Resource Allocation in Multi-armed Bandit Exploration: Overcoming Sublinear Scaling with Adaptive Parallelism ICML 2021 Risk-Averse Learning by Temporal Difference Methods with Markov Risk Measures JMLR 2021