StepCountJITAI: simulation environment for RL with application to physical activity adaptive intervention
Fuente:
arXiv
Saved in:
| Main Authors: | Karine, Karine, Marlin, Benjamin M. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Combining LLM decision and RL action selection to improve RL policy for adaptive interventions
by: Karine, Karine, et al.
Published: (2025)
by: Karine, Karine, et al.
Published: (2025)
BOTS: Batch Bayesian Optimization of Extended Thompson Sampling for Severely Episode-Limited RL Settings
by: Karine, Karine, et al.
Published: (2024)
by: Karine, Karine, et al.
Published: (2024)
Enhancing Adaptive Behavioral Interventions with LLM Inference from Participant-Described States
by: Karine, Karine, et al.
Published: (2025)
by: Karine, Karine, et al.
Published: (2025)
Heteroscedastic Temporal Variational Autoencoder For Irregular Time Series
by: Shukla, Satya Narayan, et al.
Published: (2021)
by: Shukla, Satya Narayan, et al.
Published: (2021)
Deep reinforcement learning for irrigation scheduling using high-dimensional sensor feedback
by: Saikai, Yuji, et al.
Published: (2023)
by: Saikai, Yuji, et al.
Published: (2023)
Polynomial Threshold Functions of Bounded Tree-Width: Some Explainability and Complexity Aspects
by: Chubarian, Karine, et al.
Published: (2025)
by: Chubarian, Karine, et al.
Published: (2025)
ACE and Diverse Generalization via Selective Disagreement
by: Daniels, Oliver, et al.
Published: (2025)
by: Daniels, Oliver, et al.
Published: (2025)
SLEA-RL: Step-Level Experience Augmented Reinforcement Learning for Multi-Turn Agentic Training
by: Wang, Prince Zizhuang, et al.
Published: (2026)
by: Wang, Prince Zizhuang, et al.
Published: (2026)
OGBench: Benchmarking Offline Goal-Conditioned RL
by: Park, Seohong, et al.
Published: (2024)
by: Park, Seohong, et al.
Published: (2024)
Horizon Reduction Makes RL Scalable
by: Park, Seohong, et al.
Published: (2025)
by: Park, Seohong, et al.
Published: (2025)
Is Temporal Difference Learning the Gold Standard for Stitching in RL?
by: Bortkiewicz, Michał, et al.
Published: (2025)
by: Bortkiewicz, Michał, et al.
Published: (2025)
Synthetic Data Generation & Multi-Step RL for Reasoning & Tool Use
by: Goldie, Anna, et al.
Published: (2025)
by: Goldie, Anna, et al.
Published: (2025)
Accelerating Goal-Conditioned RL Algorithms and Research
by: Bortkiewicz, Michał, et al.
Published: (2024)
by: Bortkiewicz, Michał, et al.
Published: (2024)
RL$^3$: Boosting Meta Reinforcement Learning via RL inside RL$^2$
by: Bhatia, Abhinav, et al.
Published: (2023)
by: Bhatia, Abhinav, et al.
Published: (2023)
Policy Agnostic RL: Offline RL and Online RL Fine-Tuning of Any Class and Backbone
by: Mark, Max Sobol, et al.
Published: (2024)
by: Mark, Max Sobol, et al.
Published: (2024)
Vision based driving agent for race car simulation environments
by: Bári, Gergely, et al.
Published: (2025)
by: Bári, Gergely, et al.
Published: (2025)
AgGym: An agricultural biotic stress simulation environment for ultra-precision management planning
by: Khosravi, Mahsa, et al.
Published: (2024)
by: Khosravi, Mahsa, et al.
Published: (2024)
Bridging State and History Representations: Understanding Self-Predictive RL
by: Ni, Tianwei, et al.
Published: (2024)
by: Ni, Tianwei, et al.
Published: (2024)
HIQL: Offline Goal-Conditioned RL with Latent States as Actions
by: Park, Seohong, et al.
Published: (2023)
by: Park, Seohong, et al.
Published: (2023)
An Empirical Study on the Effectiveness of Incorporating Offline RL As Online RL Subroutines
by: Su, Jianhai, et al.
Published: (2025)
by: Su, Jianhai, et al.
Published: (2025)
Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data
by: Zheng, Chongyi, et al.
Published: (2023)
by: Zheng, Chongyi, et al.
Published: (2023)
Diversity Progress for Goal Selection in Discriminability-Motivated RL
by: Lintunen, Erik M., et al.
Published: (2024)
by: Lintunen, Erik M., et al.
Published: (2024)
A Single Goal is All You Need: Skills and Exploration Emerge from Contrastive RL without Rewards, Demonstrations, or Subgoals
by: Liu, Grace, et al.
Published: (2024)
by: Liu, Grace, et al.
Published: (2024)
RL in Name Only? Analyzing the Structural Assumptions in RL post-training for LLMs
by: Samineni, Soumya Rani, et al.
Published: (2025)
by: Samineni, Soumya Rani, et al.
Published: (2025)
Rethinking RL Evaluation: Can Benchmarks Truly Reveal Failures of RL Methods?
by: Chen, Zihan, et al.
Published: (2025)
by: Chen, Zihan, et al.
Published: (2025)
Absolute convergence and error thresholds in non-active adaptive sampling
by: Ferro, Manuel Vilares, et al.
Published: (2024)
by: Ferro, Manuel Vilares, et al.
Published: (2024)
MaD Physics: Evaluating information seeking under constraints in physical environments
by: Jain, Moksh, et al.
Published: (2026)
by: Jain, Moksh, et al.
Published: (2026)
RL2Grid: Benchmarking Reinforcement Learning in Power Grid Operations
by: Marchesini, Enrico, et al.
Published: (2025)
by: Marchesini, Enrico, et al.
Published: (2025)
Towards Improving Reward Design in RL: A Reward Alignment Metric for RL Practitioners
by: Muslimani, Calarina, et al.
Published: (2025)
by: Muslimani, Calarina, et al.
Published: (2025)
SortedRL: Accelerating RL Training for LLMs through Online Length-Aware Scheduling
by: Zhang, Yiqi, et al.
Published: (2026)
by: Zhang, Yiqi, et al.
Published: (2026)
1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities
by: Wang, Kevin, et al.
Published: (2025)
by: Wang, Kevin, et al.
Published: (2025)
H-FLTN: A Privacy-Preserving Hierarchical Framework for Electric Vehicle Spatio-Temporal Charge Prediction
by: Marlin, Robert, et al.
Published: (2025)
by: Marlin, Robert, et al.
Published: (2025)
Towards proactive self-adaptive AI for non-stationary environments with dataset shifts
by: Narro, David Fernández, et al.
Published: (2025)
by: Narro, David Fernández, et al.
Published: (2025)
Budgeting Counterfactual for Offline RL
by: Liu, Yao, et al.
Published: (2023)
by: Liu, Yao, et al.
Published: (2023)
Explaining RL Decisions with Trajectories
by: Deshmukh, Shripad Vilasrao, et al.
Published: (2023)
by: Deshmukh, Shripad Vilasrao, et al.
Published: (2023)
ArenaRL: Scaling RL for Open-Ended Agents via Tournament-based Relative Ranking
by: Zhang, Qiang, et al.
Published: (2026)
by: Zhang, Qiang, et al.
Published: (2026)
Your Reward Function for RL is Your Best PRM for Search: Unifying RL and Search-Based TTS
by: Jin, Can, et al.
Published: (2025)
by: Jin, Can, et al.
Published: (2025)
VI-CuRL: Stabilizing Verifier-Independent RL Reasoning via Confidence-Guided Variance Reduction
by: Cai, Xin-Qiang, et al.
Published: (2026)
by: Cai, Xin-Qiang, et al.
Published: (2026)
The Gradient of Algebraic Model Counting
by: Maene, Jaron, et al.
Published: (2025)
by: Maene, Jaron, et al.
Published: (2025)
Intelligent Switching for Reset-Free RL
by: Patil, Darshan, et al.
Published: (2024)
by: Patil, Darshan, et al.
Published: (2024)
Similar Items
-
Combining LLM decision and RL action selection to improve RL policy for adaptive interventions
by: Karine, Karine, et al.
Published: (2025) -
BOTS: Batch Bayesian Optimization of Extended Thompson Sampling for Severely Episode-Limited RL Settings
by: Karine, Karine, et al.
Published: (2024) -
Enhancing Adaptive Behavioral Interventions with LLM Inference from Participant-Described States
by: Karine, Karine, et al.
Published: (2025) -
Heteroscedastic Temporal Variational Autoencoder For Irregular Time Series
by: Shukla, Satya Narayan, et al.
Published: (2021) -
Deep reinforcement learning for irrigation scheduling using high-dimensional sensor feedback
by: Saikai, Yuji, et al.
Published: (2023)