Double Horizon Model-Based Policy Optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Kubo, Akihiro, Parmas, Paavo, Ishii, Shin |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Emergence of Exploration in Policy Gradient Reinforcement Learning via Retrying
by: Nishimori, Soichiro, et al.
Published: (2026)
by: Nishimori, Soichiro, et al.
Published: (2026)
Does "Do Differentiable Simulators Give Better Policy Gradients?'' Give Better Policy Gradients?
by: Onoda, Ku, et al.
Published: (2026)
by: Onoda, Ku, et al.
Published: (2026)
Off-Policy Actor-Critic for Adversarial Observation Robustness: Virtual Alternative Training via Symmetric Policy Evaluation
by: Nakanishi, Kosuke, et al.
Published: (2025)
by: Nakanishi, Kosuke, et al.
Published: (2025)
Robust off-policy Reinforcement Learning via Soft Constrained Adversary
by: Nakanishi, Kosuke, et al.
Published: (2024)
by: Nakanishi, Kosuke, et al.
Published: (2024)
A Single Deep Preference-Conditioned Policy for Learning Pareto Coverage Sets
by: Kubo, Akihiro, et al.
Published: (2026)
by: Kubo, Akihiro, et al.
Published: (2026)
Hierarchy-of-Groups Policy Optimization for Long-Horizon Agentic Tasks
by: He, Shuo, et al.
Published: (2026)
by: He, Shuo, et al.
Published: (2026)
Finite-Time Regret Analysis of Retry-Aware Bandits
by: Tong, Bingkui, et al.
Published: (2026)
by: Tong, Bingkui, et al.
Published: (2026)
ADWIN: Adaptive Windows for Horizon-Aware On-Policy Distillation
by: Liang, Kun, et al.
Published: (2026)
by: Liang, Kun, et al.
Published: (2026)
Gradient Extrapolation-Based Policy Optimization
by: Swapnil, Ismam Nur, et al.
Published: (2026)
by: Swapnil, Ismam Nur, et al.
Published: (2026)
Model-Based Epistemic Variance of Values for Risk-Aware Policy Optimization
by: Luis, Carlos E., et al.
Published: (2023)
by: Luis, Carlos E., et al.
Published: (2023)
Offline Model-Based Optimization via Policy-Guided Gradient Search
by: Chemingui, Yassine, et al.
Published: (2024)
by: Chemingui, Yassine, et al.
Published: (2024)
Random Policy Enables In-Context Reinforcement Learning within Trust Horizons
by: Chen, Weiqin, et al.
Published: (2024)
by: Chen, Weiqin, et al.
Published: (2024)
Prune-OPD: Efficient and Reliable On-Policy Distillation for Long-Horizon Reasoning
by: Yang, Zhicheng, et al.
Published: (2026)
by: Yang, Zhicheng, et al.
Published: (2026)
On-Policy Optimization of ANFIS Policies Using Proximal Policy Optimization
by: Shankar, Kaaustaaub, et al.
Published: (2025)
by: Shankar, Kaaustaaub, et al.
Published: (2025)
Chain-of-Goals Hierarchical Policy for Long-Horizon Offline Goal-Conditioned RL
by: Choi, Jinwoo, et al.
Published: (2026)
by: Choi, Jinwoo, et al.
Published: (2026)
Adaptive Horizon Actor-Critic for Policy Learning in Contact-Rich Differentiable Simulation
by: Georgiev, Ignat, et al.
Published: (2024)
by: Georgiev, Ignat, et al.
Published: (2024)
Soft Policy Optimization: Online Off-Policy RL for Sequence Models
by: Cohen, Taco, et al.
Published: (2025)
by: Cohen, Taco, et al.
Published: (2025)
Bootstrapping LLMs via Preference-Based Policy Optimization
by: Jia, Chen
Published: (2025)
by: Jia, Chen
Published: (2025)
$\boldsymbol{f}$-OPD: Stabilizing Long-Horizon On-Policy Distillation with Freshness-Aware Control
by: Chen, Xianwei, et al.
Published: (2026)
by: Chen, Xianwei, et al.
Published: (2026)
On Training Large Language Models for Long-Horizon Tasks: An Empirical Study of Horizon Length
by: Kim, Sunghwan, et al.
Published: (2026)
by: Kim, Sunghwan, et al.
Published: (2026)
Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient Algorithm
by: Bai, Qinbo, et al.
Published: (2024)
by: Bai, Qinbo, et al.
Published: (2024)
Score-Based One-step MeanFlow Policy Optimization
by: Kim, Kyungyoon, et al.
Published: (2026)
by: Kim, Kyungyoon, et al.
Published: (2026)
Unbiased Dynamic Pruning for Efficient Group-Based Policy Optimization
by: Zhu, Haodong, et al.
Published: (2026)
by: Zhu, Haodong, et al.
Published: (2026)
An Adaptive Horizon-Aware Model Selection Framework for Demand Forecasting under Horizon-Induced Degradation
by: González, Adolfo, et al.
Published: (2026)
by: González, Adolfo, et al.
Published: (2026)
Orthogonalized Policy Optimization:Policy Optimization as Orthogonal Projection in Hilbert Space
by: Zixian, Wang
Published: (2026)
by: Zixian, Wang
Published: (2026)
Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes
by: Bai, Qinbo, et al.
Published: (2023)
by: Bai, Qinbo, et al.
Published: (2023)
Block-Based Double Decoders
by: Labovich, Asher, et al.
Published: (2026)
by: Labovich, Asher, et al.
Published: (2026)
Belief-Based Offline Reinforcement Learning for Delay-Robust Policy Optimization
by: Zhan, Simon Sinong, et al.
Published: (2025)
by: Zhan, Simon Sinong, et al.
Published: (2025)
PVPO: Pre-Estimated Value-Based Policy Optimization for Agentic Reasoning
by: Feng, Wenfeng, et al.
Published: (2025)
by: Feng, Wenfeng, et al.
Published: (2025)
Wasserstein Policy Optimization
by: Pfau, David, et al.
Published: (2025)
by: Pfau, David, et al.
Published: (2025)
Tree Search-Based Policy Optimization under Stochastic Execution Delay
by: Valensi, David, et al.
Published: (2024)
by: Valensi, David, et al.
Published: (2024)
Reflective Policy Optimization
by: Gan, Yaozhong, et al.
Published: (2024)
by: Gan, Yaozhong, et al.
Published: (2024)
Offline Reinforcement Learning with Universal Horizon Models
by: Chung, Hojun, et al.
Published: (2026)
by: Chung, Hojun, et al.
Published: (2026)
CROP: Conservative Reward for Model-based Offline Policy Optimization
by: Li, Hao, et al.
Published: (2023)
by: Li, Hao, et al.
Published: (2023)
LEPO: Latent Reasoning Policy Optimization for Large Language Models
by: Zhou, Yuyan, et al.
Published: (2026)
by: Zhou, Yuyan, et al.
Published: (2026)
LFPO: Likelihood-Free Policy Optimization for Masked Diffusion Models
by: Wei, Chenxing, et al.
Published: (2026)
by: Wei, Chenxing, et al.
Published: (2026)
Relative Policy-Transition Optimization for Fast Policy Transfer
by: Xu, Jiawei, et al.
Published: (2022)
by: Xu, Jiawei, et al.
Published: (2022)
COSBO: Conservative Offline Simulation-Based Policy Optimization
by: Kargar, Eshagh, et al.
Published: (2024)
by: Kargar, Eshagh, et al.
Published: (2024)
Group Orthogonalized Policy Optimization:Group Policy Optimization as Orthogonal Projection in Hilbert Space
by: Zixian, Wang
Published: (2026)
by: Zixian, Wang
Published: (2026)
Learning-Guided Rolling Horizon Optimization for Long-Horizon Flexible Job-Shop Scheduling
by: Li, Sirui, et al.
Published: (2025)
by: Li, Sirui, et al.
Published: (2025)
Similar Items
-
Emergence of Exploration in Policy Gradient Reinforcement Learning via Retrying
by: Nishimori, Soichiro, et al.
Published: (2026) -
Does "Do Differentiable Simulators Give Better Policy Gradients?'' Give Better Policy Gradients?
by: Onoda, Ku, et al.
Published: (2026) -
Off-Policy Actor-Critic for Adversarial Observation Robustness: Virtual Alternative Training via Symmetric Policy Evaluation
by: Nakanishi, Kosuke, et al.
Published: (2025) -
Robust off-policy Reinforcement Learning via Soft Constrained Adversary
by: Nakanishi, Kosuke, et al.
Published: (2024) -
A Single Deep Preference-Conditioned Policy for Learning Pareto Coverage Sets
by: Kubo, Akihiro, et al.
Published: (2026)