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| Counterfactual Explanations in Sequential Decision Making Under Uncertainty | Jul 6, 2021 | counterfactualCounterfactual Explanation | CodeCode Available | 1 | 5 |
| Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value Functions | Oct 15, 2019 | Decision MakingDecision Making Under Uncertainty | CodeCode Available | 1 | 5 |
| Comparing Deep Reinforcement Learning Algorithms in Two-Echelon Supply Chains | Apr 20, 2022 | Decision MakingDeep Reinforcement Learning | CodeCode Available | 1 | 5 |
| Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making | Feb 5, 2020 | Decision Makingreinforcement-learning | CodeCode Available | 1 | 5 |
| Decision Mamba: Reinforcement Learning via Sequence Modeling with Selective State Spaces | Mar 29, 2024 | Decision MakingMamba | CodeCode Available | 1 | 5 |
| Can language agents be alternatives to PPO? A Preliminary Empirical Study On OpenAI Gym | Dec 6, 2023 | BenchmarkingDecision Making | CodeCode Available | 1 | 5 |
| Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling | Oct 29, 2018 | Collaborative FilteringDecision Making | CodeCode Available | 1 | 5 |
| An empirical evaluation of active inference in multi-armed bandits | Jan 21, 2021 | BIG-bench Machine LearningDecision Making | CodeCode Available | 1 | 5 |
| Decision Stacks: Flexible Reinforcement Learning via Modular Generative Models | Jun 9, 2023 | Decision Makingreinforcement-learning | CodeCode Available | 1 | 5 |