Learning a Fast Mixing Exogenous Block MDP using a Single Trajectory
Fuente:
arXiv
Guardado en:
| Autores principales: | Levine, Alexander, Stone, Peter, Zhang, Amy |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Offline Action-Free Learning of Ex-BMDPs by Comparing Diverse Datasets
por: Levine, Alexander, et al.
Publicado: (2025)
por: Levine, Alexander, et al.
Publicado: (2025)
Multistep Inverse Is Not All You Need
por: Levine, Alexander, et al.
Publicado: (2024)
por: Levine, Alexander, et al.
Publicado: (2024)
Federated Learning With Energy Harvesting Devices: An MDP Framework
por: Zhang, Kai, et al.
Publicado: (2024)
por: Zhang, Kai, et al.
Publicado: (2024)
MDP Planning as Policy Inference
por: Tolpin, David
Publicado: (2026)
por: Tolpin, David
Publicado: (2026)
Track-MDP: Reinforcement Learning for Target Tracking with Controlled Sensing
por: Subramaniam, Adarsh M., et al.
Publicado: (2024)
por: Subramaniam, Adarsh M., et al.
Publicado: (2024)
Will My Robot Achieve My Goals? Predicting the Probability that an MDP Policy Reaches a User-Specified Behavior Target
por: Guyer, Alexander, et al.
Publicado: (2022)
por: Guyer, Alexander, et al.
Publicado: (2022)
t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Making
por: Yue, William, et al.
Publicado: (2024)
por: Yue, William, et al.
Publicado: (2024)
Learning in Markov Decision Processes with Exogenous Dynamics
por: Maran, Davide, et al.
Publicado: (2026)
por: Maran, Davide, et al.
Publicado: (2026)
Geometric Re-Analysis of Classical MDP Solving Algorithms
por: Mustafin, Arsenii, et al.
Publicado: (2025)
por: Mustafin, Arsenii, et al.
Publicado: (2025)
The Trajectory Alignment Coefficient in Two Acts: From Reward Tuning to Reward Learning
por: Muslimani, Calarina, et al.
Publicado: (2026)
por: Muslimani, Calarina, et al.
Publicado: (2026)
Predictive Control and Regret Analysis of Non-Stationary MDP with Look-ahead Information
por: Zhang, Ziyi, et al.
Publicado: (2024)
por: Zhang, Ziyi, et al.
Publicado: (2024)
Proto Successor Measure: Representing the Behavior Space of an RL Agent
por: Agarwal, Siddhant, et al.
Publicado: (2024)
por: Agarwal, Siddhant, et al.
Publicado: (2024)
Reinforcement Learning with Exogenous States and Rewards
por: Trimponias, George, et al.
Publicado: (2023)
por: Trimponias, George, et al.
Publicado: (2023)
MDP Geometry, Normalization and Reward Balancing Solvers
por: Mustafin, Arsenii, et al.
Publicado: (2024)
por: Mustafin, Arsenii, et al.
Publicado: (2024)
Online MDP with Transition Prototypes: A Robust Adaptive Approach
por: Sun, Shuo, et al.
Publicado: (2024)
por: Sun, Shuo, et al.
Publicado: (2024)
None To Optima in Few Shots: Bayesian Optimization with MDP Priors
por: Li, Diantong, et al.
Publicado: (2025)
por: Li, Diantong, et al.
Publicado: (2025)
Causal Bayesian Optimization via Exogenous Distribution Learning
por: Ren, Shaogang, et al.
Publicado: (2024)
por: Ren, Shaogang, et al.
Publicado: (2024)
A Minimax-MDP Framework with Future-imposed Conditions for Learning-augmented Problems
por: Chen, Xin, et al.
Publicado: (2025)
por: Chen, Xin, et al.
Publicado: (2025)
Single-Trajectory Distributionally Robust Reinforcement Learning
por: Liang, Zhipeng, et al.
Publicado: (2023)
por: Liang, Zhipeng, et al.
Publicado: (2023)
Exogenous Matching: Learning Good Proposals for Tractable Counterfactual Estimation
por: Chen, Yikang, et al.
Publicado: (2024)
por: Chen, Yikang, et al.
Publicado: (2024)
Exogenous Isomorphism for Counterfactual Identifiability
por: Chen, Yikang, et al.
Publicado: (2025)
por: Chen, Yikang, et al.
Publicado: (2025)
Using Forwards-Backwards Models to Approximate MDP Homomorphisms
por: Mavor-Parker, Augustine N., et al.
Publicado: (2022)
por: Mavor-Parker, Augustine N., et al.
Publicado: (2022)
Out-of-Distribution Generalization with a SPARC: Racing 100 Unseen Vehicles with a Single Policy
por: Grooten, Bram, et al.
Publicado: (2025)
por: Grooten, Bram, et al.
Publicado: (2025)
Learning to Stabilize Unknown LTI Systems on a Single Trajectory under Stochastic Noise
por: Zhang, Ziyi, et al.
Publicado: (2024)
por: Zhang, Ziyi, et al.
Publicado: (2024)
ICU-Sepsis: A Benchmark MDP Built from Real Medical Data
por: Choudhary, Kartik, et al.
Publicado: (2024)
por: Choudhary, Kartik, et al.
Publicado: (2024)
Exploiting Exogenous Structure for Sample-Efficient Reinforcement Learning
por: Wan, Jia, et al.
Publicado: (2024)
por: Wan, Jia, et al.
Publicado: (2024)
RACER: Epistemic Risk-Sensitive RL Enables Fast Driving with Fewer Crashes
por: Stachowicz, Kyle, et al.
Publicado: (2024)
por: Stachowicz, Kyle, et al.
Publicado: (2024)
d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation
por: Qian, Yu-Yang, et al.
Publicado: (2026)
por: Qian, Yu-Yang, et al.
Publicado: (2026)
Learning Memory Mechanisms for Decision Making through Demonstrations
por: Yue, William, et al.
Publicado: (2024)
por: Yue, William, et al.
Publicado: (2024)
Visual Pre-Training on Unlabeled Images using Reinforcement Learning
por: Ghosh, Dibya, et al.
Publicado: (2025)
por: Ghosh, Dibya, et al.
Publicado: (2025)
SaVeR: Optimal Data Collection Strategy for Safe Policy Evaluation in Tabular MDP
por: Mukherjee, Subhojyoti, et al.
Publicado: (2024)
por: Mukherjee, Subhojyoti, et al.
Publicado: (2024)
AsyncVLA: An Asynchronous VLA for Fast and Robust Navigation on the Edge
por: Hirose, Noriaki, et al.
Publicado: (2026)
por: Hirose, Noriaki, et al.
Publicado: (2026)
Trajectory Balance with Asynchrony: Decoupling Exploration and Learning for Fast, Scalable LLM Post-Training
por: Bartoldson, Brian, et al.
Publicado: (2025)
por: Bartoldson, Brian, et al.
Publicado: (2025)
A Finite-Sample Analysis of an Actor-Critic Algorithm for Mean-Variance Optimization in a Discounted MDP
por: Sangadi, Tejaram, et al.
Publicado: (2024)
por: Sangadi, Tejaram, et al.
Publicado: (2024)
Addressing Correlated Latent Exogenous Variables in Debiased Recommender Systems
por: Zhang, Shuqiang, et al.
Publicado: (2025)
por: Zhang, Shuqiang, et al.
Publicado: (2025)
MI-to-Mid Distilled Compression (M2M-DC): An Hybrid-Information-Guided-Block Pruning with Progressive Inner Slicing Approach to Model Compression
por: Levine, Lionel, et al.
Publicado: (2025)
por: Levine, Lionel, et al.
Publicado: (2025)
Optimal Flow Matching: Learning Straight Trajectories in Just One Step
por: Kornilov, Nikita, et al.
Publicado: (2024)
por: Kornilov, Nikita, et al.
Publicado: (2024)
Deep reinforcement learning for weakly coupled MDP's with continuous actions
por: Robledo, Francisco, et al.
Publicado: (2024)
por: Robledo, Francisco, et al.
Publicado: (2024)
TrajDLM: Topology-Aware Block Diffusion Language Model for Trajectory Generation
por: Wongso, Wilson, et al.
Publicado: (2026)
por: Wongso, Wilson, et al.
Publicado: (2026)
Leveraging Exogenous Signals for Hydrology Time Series Forecasting
por: He, Junyang, et al.
Publicado: (2025)
por: He, Junyang, et al.
Publicado: (2025)
Ejemplares similares
-
Offline Action-Free Learning of Ex-BMDPs by Comparing Diverse Datasets
por: Levine, Alexander, et al.
Publicado: (2025) -
Multistep Inverse Is Not All You Need
por: Levine, Alexander, et al.
Publicado: (2024) -
Federated Learning With Energy Harvesting Devices: An MDP Framework
por: Zhang, Kai, et al.
Publicado: (2024) -
MDP Planning as Policy Inference
por: Tolpin, David
Publicado: (2026) -
Track-MDP: Reinforcement Learning for Target Tracking with Controlled Sensing
por: Subramaniam, Adarsh M., et al.
Publicado: (2024)