| Bayesian Inverse Transition Learning for Offline Settings | Aug 9, 2023 | Decision MakingSequential Decision Making | —Unverified | 0 | 0 |
| Bayesian learning of the optimal action-value function in a Markov decision process | May 3, 2025 | Decision MakingSequential Decision Making | —Unverified | 0 | 0 |
| Bayesian optimization explains human active search | Dec 1, 2013 | Bayesian OptimizationDecision Making | —Unverified | 0 | 0 |
| Be Considerate: Objectives, Side Effects, and Deciding How to Act | Jun 4, 2021 | Decision MakingReinforcement Learning (RL) | —Unverified | 0 | 0 |
| Beta DVBF: Learning State-Space Models for Control from High Dimensional Observations | Nov 2, 2019 | Decision MakingSequential Decision Making | —Unverified | 0 | 0 |
| BeTAIL: Behavior Transformer Adversarial Imitation Learning from Human Racing Gameplay | Feb 22, 2024 | Autonomous RacingDecision Making | —Unverified | 0 | 0 |
| Between Rate-Distortion Theory & Value Equivalence in Model-Based Reinforcement Learning | Jun 4, 2022 | Decision MakingModel-based Reinforcement Learning | —Unverified | 0 | 0 |
| Beyond Adaptive Submodularity: Approximation Guarantees of Greedy Policy with Adaptive Submodularity Ratio | Apr 24, 2019 | Decision Makingfeature selection | —Unverified | 0 | 0 |
| Beyond O(T) Regret: Decoupling Learning and Decision-making in Online Linear Programming | Jan 6, 2025 | Decision MakingSequential Decision Making | —Unverified | 0 | 0 |
| Beyond Stationarity: Convergence Analysis of Stochastic Softmax Policy Gradient Methods | Oct 4, 2023 | Decision MakingPolicy Gradient Methods | —Unverified | 0 | 0 |