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transition dynamics

19 papers

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Co-occurring keywords

reinforcement learning (4352) markov decision process (790) policy learning (702) offline reinforcement learning (492) neural network (6616) multi-agent system (1819) model-based reinforcement learning (415) inverse reinforcement learning (205) transfer learning (5449) multi-task learning (2575)

Papers

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
Transformers Learn Transition Dynamics when Trained to Predict Markov Decision Processes EMNLP 2024
Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning NIPS 2024
Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies NIPS 2023
Dueling RL: Reinforcement Learning with Trajectory Preferences AISTATS 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
Free-Form Variational Inference for Gaussian Process State-Space Models ICML 2023
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
TempLe: Learning Template of Transitions for Sample Efficient Multi-task RL AAAI 2021
Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch NIPS 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 NIPS 2021
Universal Value Iteration Networks: When Spatially-Invariant Is Not Universal AAAI 2020
Zero-Shot Transfer with Deictic Object-Oriented Representation in Reinforcement Learning NIPS 2018