transition dynamics

Balance Equation-based Distributionally Robust Offline Imitation Learning L4DC 2026 Enhancing Control Policy Smoothness by Aligning Actions with Predictions from Preceding States AAAI 2026 Predicting Video Slot Attention Queries from Random Slot-Feature Pairs AAAI 2026 The Indoor-Training Effect: Unexpected Gains from Distribution Shifts in the Transition Function AAAI 2025 Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning AAAI 2024 Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning NeurIPS 2024 Transformers Learn Transition Dynamics when Trained to Predict Markov Decision Processes EMNLP 2024 Dueling RL: Reinforcement Learning with Trajectory Preferences AISTATS 2023 Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies NeurIPS 2023 Free-Form Variational Inference for Gaussian Process State-Space Models ICML 2023 Online Tuning for Offline Decentralized Multi-Agent Reinforcement Learning AAAI 2023 Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health AAAI 2023 Imitation Learning from Observations under Transition Model Disparity ICLR 2022 Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization AAAI 2022 Dipper: A Dynamically Transitioning Aerial-Aquatic Unmanned Vehicle RSS 2021 Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation AAAI 2021 PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators NeurIPS 2021 Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch NeurIPS 2021 TempLe: Learning Template of Transitions for Sample Efficient Multi-task RL AAAI 2021 State-only Imitation with Transition Dynamics Mismatch ICLR 2020 Universal Value Iteration Networks: When Spatially-Invariant Is Not Universal AAAI 2020 Zero-Shot Transfer with Deictic Object-Oriented Representation in Reinforcement Learning NeurIPS 2018