Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Yao, Yihang, Liu, Zuxin, Cen, Zhepeng, Zhu, Jiacheng, Yu, Wenhao, Zhang, Tingnan, Zhao, Ding |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Behavior Injection: Preparing Language Models for Reinforcement Learning
by: Cen, Zhepeng, et al.
Published: (2025)
by: Cen, Zhepeng, et al.
Published: (2025)
Feasibility Consistent Representation Learning for Safe Reinforcement Learning
by: Cen, Zhepeng, et al.
Published: (2024)
by: Cen, Zhepeng, et al.
Published: (2024)
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning
by: Yao, Yihang, et al.
Published: (2024)
by: Yao, Yihang, et al.
Published: (2024)
Learning from Sparse Offline Datasets via Conservative Density Estimation
by: Cen, Zhepeng, et al.
Published: (2024)
by: Cen, Zhepeng, et al.
Published: (2024)
Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization
by: Yao, Yihang, et al.
Published: (2026)
by: Yao, Yihang, et al.
Published: (2026)
Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving
by: Lin, Haohong, et al.
Published: (2023)
by: Lin, Haohong, et al.
Published: (2023)
Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning
by: Chemingui, Yassine, et al.
Published: (2024)
by: Chemingui, Yassine, et al.
Published: (2024)
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning
by: Lin, Haohong, et al.
Published: (2024)
by: Lin, Haohong, et al.
Published: (2024)
Human2LocoMan: Learning Versatile Quadrupedal Manipulation with Human Pretraining
by: Niu, Yaru, et al.
Published: (2025)
by: Niu, Yaru, 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)
Preferred-Action-Optimized Diffusion Policies for Offline Reinforcement Learning
by: Zhang, Tianle, et al.
Published: (2024)
by: Zhang, Tianle, et al.
Published: (2024)
Diffusion Policies with Value-Conditional Optimization for Offline Reinforcement Learning
by: Ma, Yunchang, et al.
Published: (2025)
by: Ma, Yunchang, et al.
Published: (2025)
A Survey of Constraint Formulations in Safe Reinforcement Learning
by: Wachi, Akifumi, et al.
Published: (2024)
by: Wachi, Akifumi, et al.
Published: (2024)
Reinforcement Learning in a Safety-Embedded MDP with Trajectory Optimization
by: Yang, Fan, et al.
Published: (2023)
by: Yang, Fan, et al.
Published: (2023)
Safe Reinforcement Learning with Learned Non-Markovian Safety Constraints
by: Low, Siow Meng, et al.
Published: (2024)
by: Low, Siow Meng, et al.
Published: (2024)
Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk
by: Ying, Chengyang, et al.
Published: (2022)
by: Ying, Chengyang, et al.
Published: (2022)
SafeAdapt: Provably Safe Policy Updates in Deep Reinforcement Learning
by: Anisimov, Maksim, et al.
Published: (2026)
by: Anisimov, Maksim, et al.
Published: (2026)
Safe Offline Reinforcement Learning with Real-Time Budget Constraints
by: Lin, Qian, et al.
Published: (2023)
by: Lin, Qian, et al.
Published: (2023)
Automatic Constraint Policy Optimization based on Continuous Constraint Interpolation Framework for Offline Reinforcement Learning
by: Han, Xinchen, et al.
Published: (2026)
by: Han, Xinchen, et al.
Published: (2026)
SB-TRPO: Towards Safe Reinforcement Learning with Hard Constraints
by: Wagner, Dominik, et al.
Published: (2025)
by: Wagner, Dominik, et al.
Published: (2025)
Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization
by: Liu, Zongkai, et al.
Published: (2024)
by: Liu, Zongkai, et al.
Published: (2024)
Implicit Safe Set Algorithm for Provably Safe Reinforcement Learning
by: Zhao, Weiye, et al.
Published: (2024)
by: Zhao, Weiye, et al.
Published: (2024)
Policy Constraint by Only Support Constraint for Offline Reinforcement Learning
by: Gao, Yunkai, et al.
Published: (2025)
by: Gao, Yunkai, et al.
Published: (2025)
Learning Multi-Agent Loco-Manipulation for Long-Horizon Quadrupedal Pushing
by: Feng, Yuming, et al.
Published: (2024)
by: Feng, Yuming, et al.
Published: (2024)
TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models
by: Liu, Zuxin, et al.
Published: (2023)
by: Liu, Zuxin, et al.
Published: (2023)
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)
Online Optimization for Offline Safe Reinforcement Learning
by: Chemingui, Yassine, et al.
Published: (2025)
by: Chemingui, Yassine, et al.
Published: (2025)
Integrating LTL Constraints into PPO for Safe Reinforcement Learning
by: Zhang, Maifang, et al.
Published: (2026)
by: Zhang, Maifang, et al.
Published: (2026)
GEPO: Group Expectation Policy Optimization for Stable Heterogeneous Reinforcement Learning
by: Zhang, Han, et al.
Published: (2025)
by: Zhang, Han, et al.
Published: (2025)
EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data
by: Zhang, Jesse, et al.
Published: (2024)
by: Zhang, Jesse, et al.
Published: (2024)
Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation
by: Gu, Shangding, et al.
Published: (2024)
by: Gu, Shangding, et al.
Published: (2024)
QuietPaw: Learning Quadrupedal Locomotion with Versatile Noise Preference Alignment
by: Zhang, Yuyou, et al.
Published: (2025)
by: Zhang, Yuyou, et al.
Published: (2025)
Preference Conditioned Multi-Objective Reinforcement Learning: Decomposed, Diversity-Driven Policy Optimization
by: Ambadkar, Tanmay, et al.
Published: (2026)
by: Ambadkar, Tanmay, et al.
Published: (2026)
Towards Fast Safe Online Reinforcement Learning via Policy Finetuning
by: Chen, Keru, et al.
Published: (2024)
by: Chen, Keru, et al.
Published: (2024)
Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning
by: Yang, Tong, et al.
Published: (2023)
by: Yang, Tong, et al.
Published: (2023)
On-Policy RL Meets Off-Policy Experts: Harmonizing Supervised Fine-Tuning and Reinforcement Learning via Dynamic Weighting
by: Zhang, Wenhao, et al.
Published: (2025)
by: Zhang, Wenhao, et al.
Published: (2025)
GUARD: A Safe Reinforcement Learning Benchmark
by: Zhao, Weiye, et al.
Published: (2023)
by: Zhao, Weiye, et al.
Published: (2023)
Temporal Logic Specification-Conditioned Decision Transformer for Offline Safe Reinforcement Learning
by: Guo, Zijian, et al.
Published: (2024)
by: Guo, Zijian, et al.
Published: (2024)
Webscale-RL: Automated Data Pipeline for Scaling RL Data to Pretraining Levels
by: Cen, Zhepeng, et al.
Published: (2025)
by: Cen, Zhepeng, et al.
Published: (2025)
Long and Short-Term Constraints Driven Safe Reinforcement Learning for Autonomous Driving
by: Hu, Xuemin, et al.
Published: (2024)
by: Hu, Xuemin, et al.
Published: (2024)
Similar Items
-
Behavior Injection: Preparing Language Models for Reinforcement Learning
by: Cen, Zhepeng, et al.
Published: (2025) -
Feasibility Consistent Representation Learning for Safe Reinforcement Learning
by: Cen, Zhepeng, et al.
Published: (2024) -
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning
by: Yao, Yihang, et al.
Published: (2024) -
Learning from Sparse Offline Datasets via Conservative Density Estimation
by: Cen, Zhepeng, et al.
Published: (2024) -
Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization
by: Yao, Yihang, et al.
Published: (2026)