Bidirectional-Reachable Hierarchical Reinforcement Learning with Mutually Responsive Policies
Fuente:
arXiv
Saved in:
| Main Authors: | Luo, Yu, Sun, Fuchun, Ji, Tianying, Zhan, Xianyuan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
OMPO: A Unified Framework for RL under Policy and Dynamics Shifts
by: Luo, Yu, et al.
Published: (2024)
by: Luo, Yu, et al.
Published: (2024)
Offline-Boosted Actor-Critic: Adaptively Blending Optimal Historical Behaviors in Deep Off-Policy RL
by: Luo, Yu, et al.
Published: (2024)
by: Luo, Yu, et al.
Published: (2024)
Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy Actor-Critic
by: Ji, Tianying, et al.
Published: (2023)
by: Ji, Tianying, et al.
Published: (2023)
Flow-Based Policy for Online Reinforcement Learning
by: Lv, Lei, et al.
Published: (2025)
by: Lv, Lei, et al.
Published: (2025)
Towards Robust Zero-Shot Reinforcement Learning
by: Zheng, Kexin, et al.
Published: (2025)
by: Zheng, Kexin, et al.
Published: (2025)
ACE : Off-Policy Actor-Critic with Causality-Aware Entropy Regularization
by: Ji, Tianying, et al.
Published: (2024)
by: Ji, Tianying, et al.
Published: (2024)
Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning
by: Mao, Liyuan, et al.
Published: (2024)
by: Mao, Liyuan, et al.
Published: (2024)
Learning by Doing: An Online Causal Reinforcement Learning Framework with Causal-Aware Policy
by: Cai, Ruichu, et al.
Published: (2024)
by: Cai, Ruichu, et al.
Published: (2024)
A Comprehensive Survey of Cross-Domain Policy Transfer for Embodied Agents
by: Niu, Haoyi, et al.
Published: (2024)
by: Niu, Haoyi, et al.
Published: (2024)
Mutual Information Tracks Policy Coherence in Reinforcement Learning
by: Reid, Cameron, et al.
Published: (2025)
by: Reid, Cameron, et al.
Published: (2025)
Safe Flow Q-Learning: Offline Safe Reinforcement Learning with Reachability-Based Flow Policies
by: Tayal, Mumuksh, et al.
Published: (2026)
by: Tayal, Mumuksh, et al.
Published: (2026)
Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
by: Zheng, Yinan, et al.
Published: (2024)
by: Zheng, Yinan, et al.
Published: (2024)
When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning
by: Niu, Haoyi, et al.
Published: (2022)
by: Niu, Haoyi, et al.
Published: (2022)
H2O+: An Improved Framework for Hybrid Offline-and-Online RL with Dynamics Gaps
by: Niu, Haoyi, et al.
Published: (2023)
by: Niu, Haoyi, et al.
Published: (2023)
Cog-Rethinker: Hierarchical Metacognitive Reinforcement Learning for LLM Reasoning
by: Sun, Zexu, et al.
Published: (2025)
by: Sun, Zexu, et al.
Published: (2025)
Subequivariant Reinforcement Learning in 3D Multi-Entity Physical Environments
by: Chen, Runfa, et al.
Published: (2024)
by: Chen, Runfa, et al.
Published: (2024)
Scrutinize What We Ignore: Reining In Task Representation Shift Of Context-Based Offline Meta Reinforcement Learning
by: Zhang, Hai, et al.
Published: (2024)
by: Zhang, Hai, et al.
Published: (2024)
Skill-Critic: Refining Learned Skills for Hierarchical Reinforcement Learning
by: Hao, Ce, et al.
Published: (2023)
by: Hao, Ce, et al.
Published: (2023)
ODICE: Revealing the Mystery of Distribution Correction Estimation via Orthogonal-gradient Update
by: Mao, Liyuan, et al.
Published: (2024)
by: Mao, Liyuan, et al.
Published: (2024)
FLAC: Maximum Entropy RL via Kinetic Energy Regularized Bridge Matching
by: Lv, Lei, et al.
Published: (2026)
by: Lv, Lei, et al.
Published: (2026)
Goal Space Abstraction in Hierarchical Reinforcement Learning via Set-Based Reachability Analysis
by: Zadem, Mehdi, et al.
Published: (2023)
by: Zadem, Mehdi, et al.
Published: (2023)
Mutual Information Regularized Offline Reinforcement Learning
by: Ma, Xiao, et al.
Published: (2022)
by: Ma, Xiao, et al.
Published: (2022)
Hierarchical Reinforcement Learning for Temporal Abstraction of Listwise Recommendation
by: Ji, Luo, et al.
Published: (2024)
by: Ji, Luo, et al.
Published: (2024)
Skill-aware Mutual Information Optimisation for Generalisation in Reinforcement Learning
by: Yu, Xuehui, et al.
Published: (2024)
by: Yu, Xuehui, et al.
Published: (2024)
MIR: Efficient Exploration in Episodic Multi-Agent Reinforcement Learning via Mutual Intrinsic Reward
by: Chen, Kesheng, et al.
Published: (2025)
by: Chen, Kesheng, et al.
Published: (2025)
Proposing Hierarchical Goal-Conditioned Policy Planning in Multi-Goal Reinforcement Learning
by: Rens, Gavin B.
Published: (2025)
by: Rens, Gavin B.
Published: (2025)
Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization
by: Li, Simin, et al.
Published: (2023)
by: Li, Simin, et al.
Published: (2023)
Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning
by: Yang, Hanlin, et al.
Published: (2024)
by: Yang, Hanlin, et al.
Published: (2024)
Mutual Information as Intrinsic Reward of Reinforcement Learning Agents for On-demand Ride Pooling
by: Zhang, Xianjie, et al.
Published: (2023)
by: Zhang, Xianjie, et al.
Published: (2023)
Hierarchical Meta-Reinforcement Learning via Automated Macro-Action Discovery
by: Cho, Minjae, et al.
Published: (2024)
by: Cho, Minjae, et al.
Published: (2024)
Bidirectional Hierarchical Protein Multi-Modal Representation Learning
by: Liu, Xuefeng, et al.
Published: (2025)
by: Liu, Xuefeng, et al.
Published: (2025)
Beyond Hard Constraints: Budget-Conditioned Reachability For Safe Offline Reinforcement Learning
by: Brahmanage, Janaka Chathuranga, et al.
Published: (2026)
by: Brahmanage, Janaka Chathuranga, 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)
Meta-Aligner: Bidirectional Preference-Policy Optimization for Multi-Objective LLMs Alignment
by: Xu, Wenzhe, et al.
Published: (2026)
by: Xu, Wenzhe, et al.
Published: (2026)
HALO: Hierarchical Reinforcement Learning for Large-Scale Adaptive Traffic Signal Control
by: Zhu, Yaqiao, et al.
Published: (2025)
by: Zhu, Yaqiao, et al.
Published: (2025)
Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning
by: Feng, Xinsong, et al.
Published: (2025)
by: Feng, Xinsong, et al.
Published: (2025)
UpSkill: Mutual Information Skill Learning for Structured Response Diversity in LLMs
by: Shah, Devan, et al.
Published: (2026)
by: Shah, Devan, et al.
Published: (2026)
ISEP: Implicit Support Expansion for Offline Reinforcement Learning via Stochastic Policy Optimization
by: Chen, Yifei, et al.
Published: (2026)
by: Chen, Yifei, et al.
Published: (2026)
In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought
by: Huang, Sili, et al.
Published: (2024)
by: Huang, Sili, et al.
Published: (2024)
Are Expressive Models Truly Necessary for Offline RL?
by: Wang, Guan, et al.
Published: (2024)
by: Wang, Guan, et al.
Published: (2024)
Similar Items
-
OMPO: A Unified Framework for RL under Policy and Dynamics Shifts
by: Luo, Yu, et al.
Published: (2024) -
Offline-Boosted Actor-Critic: Adaptively Blending Optimal Historical Behaviors in Deep Off-Policy RL
by: Luo, Yu, et al.
Published: (2024) -
Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy Actor-Critic
by: Ji, Tianying, et al.
Published: (2023) -
Flow-Based Policy for Online Reinforcement Learning
by: Lv, Lei, et al.
Published: (2025) -
Towards Robust Zero-Shot Reinforcement Learning
by: Zheng, Kexin, et al.
Published: (2025)