ODRL: A Benchmark for Off-Dynamics Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Lyu, Jiafei, Xu, Kang, Xu, Jiacheng, Yan, Mengbei, Yang, Jingwen, Zhang, Zongzhang, Bai, Chenjia, Lu, Zongqing, Li, Xiu |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Cross-Domain Policy Adaptation by Capturing Representation Mismatch
by: Lyu, Jiafei, et al.
Published: (2024)
by: Lyu, Jiafei, et al.
Published: (2024)
Mildly Conservative Q-Learning for Offline Reinforcement Learning
by: Lyu, Jiafei, et al.
Published: (2022)
by: Lyu, Jiafei, et al.
Published: (2022)
Understanding What Affects the Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence
by: Lyu, Jiafei, et al.
Published: (2024)
by: Lyu, Jiafei, et al.
Published: (2024)
PROF: An LLM-based Reward Code Preference Optimization Framework for Offline Imitation Learning
by: Sun, Shengjie, et al.
Published: (2025)
by: Sun, Shengjie, et al.
Published: (2025)
SEABO: A Simple Search-Based Method for Offline Imitation Learning
by: Lyu, Jiafei, et al.
Published: (2024)
by: Lyu, Jiafei, et al.
Published: (2024)
A Two-stage Reinforcement Learning-based Approach for Multi-entity Task Allocation
by: Gong, Aicheng, et al.
Published: (2024)
by: Gong, Aicheng, et al.
Published: (2024)
ADG: Ambient Diffusion-Guided Dataset Recovery for Corruption-Robust Offline Reinforcement Learning
by: Liu, Zeyuan, et al.
Published: (2025)
by: Liu, Zeyuan, et al.
Published: (2025)
Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning
by: Wen, Xiaoyu, et al.
Published: (2024)
by: Wen, Xiaoyu, et al.
Published: (2024)
Mind the Model, Not the Agent: The Primacy Bias in Model-based RL
by: Qiao, Zhongjian, et al.
Published: (2023)
by: Qiao, Zhongjian, et al.
Published: (2023)
Policy Regularization on Globally Accessible States in Cross-Dynamics Reinforcement Learning
by: Xue, Zhenghai, et al.
Published: (2025)
by: Xue, Zhenghai, et al.
Published: (2025)
Debiased Model-based Representations for Sample-efficient Continuous Control
by: Lyu, Jiafei, et al.
Published: (2026)
by: Lyu, Jiafei, et al.
Published: (2026)
Hindsight Preference Learning for Offline Preference-based Reinforcement Learning
by: Gao, Chen-Xiao, et al.
Published: (2024)
by: Gao, Chen-Xiao, et al.
Published: (2024)
Localized Dynamics-Aware Domain Adaption for Off-Dynamics Offline Reinforcement Learning
by: Xia, Zhangjie, et al.
Published: (2026)
by: Xia, Zhangjie, et al.
Published: (2026)
MOBODY: Model Based Off-Dynamics Offline Reinforcement Learning
by: Guo, Yihong, et al.
Published: (2025)
by: Guo, Yihong, et al.
Published: (2025)
Efficient Cross-Domain Offline Reinforcement Learning with Dynamics- and Value-Aligned Data Filtering
by: Qiao, Zhongjian, et al.
Published: (2025)
by: Qiao, Zhongjian, et al.
Published: (2025)
SelfBC: Self Behavior Cloning for Offline Reinforcement Learning
by: Liu, Shirong, et al.
Published: (2024)
by: Liu, Shirong, et al.
Published: (2024)
Return Augmented Decision Transformer for Off-Dynamics Reinforcement Learning
by: Wang, Ruhan, et al.
Published: (2024)
by: Wang, Ruhan, et al.
Published: (2024)
Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learning
by: Wang, Changhong, et al.
Published: (2024)
by: Wang, Changhong, et al.
Published: (2024)
Exponential Topology-enabled Scalable Communication in Multi-agent Reinforcement Learning
by: Li, Xinran, et al.
Published: (2025)
by: Li, Xinran, et al.
Published: (2025)
Upper and Lower Bounds for Distributionally Robust Off-Dynamics Reinforcement Learning
by: Liu, Zhishuai, et al.
Published: (2024)
by: Liu, Zhishuai, et al.
Published: (2024)
Decentralized Transformers with Centralized Aggregation are Sample-Efficient Multi-Agent World Models
by: Zhang, Yang, et al.
Published: (2024)
by: Zhang, Yang, et al.
Published: (2024)
Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning
by: Gao, Chen-Xiao, et al.
Published: (2025)
by: Gao, Chen-Xiao, et al.
Published: (2025)
Fully Decentralized Cooperative Multi-Agent Reinforcement Learning: A Survey
by: Jiang, Jiechuan, et al.
Published: (2024)
by: Jiang, Jiechuan, et al.
Published: (2024)
Cross-Domain Offline Policy Adaptation via Selective Transition Correction
by: Yan, Mengbei, et al.
Published: (2026)
by: Yan, Mengbei, et al.
Published: (2026)
Cross-Domain Energy-Guided Diffusion Generation for Off-Dynamics Reinforcement Learning
by: Yang, Yu, et al.
Published: (2026)
by: Yang, Yu, et al.
Published: (2026)
Diverse Randomized Value Functions: A Provably Pessimistic Approach for Offline Reinforcement Learning
by: Yu, Xudong, et al.
Published: (2024)
by: Yu, Xudong, et al.
Published: (2024)
Sample Complexity of Distributionally Robust Off-Dynamics Reinforcement Learning with Online Interaction
by: He, Yiting, et al.
Published: (2025)
by: He, Yiting, et al.
Published: (2025)
Pessimistic Value Iteration for Multi-Task Data Sharing in Offline Reinforcement Learning
by: Bai, Chenjia, et al.
Published: (2024)
by: Bai, Chenjia, et al.
Published: (2024)
Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation
by: Guo, Yihong, et al.
Published: (2024)
by: Guo, Yihong, et al.
Published: (2024)
Stabilizing Reinforcement Learning for Diffusion Language Models
by: Zhong, Jianyuan, et al.
Published: (2026)
by: Zhong, Jianyuan, et al.
Published: (2026)
World Models with Hints of Large Language Models for Goal Achieving
by: Liu, Zeyuan, et al.
Published: (2024)
by: Liu, Zeyuan, et al.
Published: (2024)
Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics
by: Zhang, Xinyu, et al.
Published: (2024)
by: Zhang, Xinyu, et al.
Published: (2024)
Reward Models in Deep Reinforcement Learning: A Survey
by: Yu, Rui, et al.
Published: (2025)
by: Yu, Rui, et al.
Published: (2025)
AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games
by: Su, Kefan, et al.
Published: (2024)
by: Su, Kefan, et al.
Published: (2024)
Temporal Difference Learning with Constrained Initial Representations
by: Lyu, Jiafei, et al.
Published: (2026)
by: Lyu, Jiafei, et al.
Published: (2026)
Information-Theoretic Reward Decomposition for Generalizable RLHF
by: Mao, Liyuan, et al.
Published: (2025)
by: Mao, Liyuan, et al.
Published: (2025)
ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning
by: Gao, Chen-Xiao, et al.
Published: (2023)
by: Gao, Chen-Xiao, et al.
Published: (2023)
$\text{Alpha}^2$: Discovering Logical Formulaic Alphas using Deep Reinforcement Learning
by: Xu, Feng, et al.
Published: (2024)
by: Xu, Feng, et al.
Published: (2024)
RL-GPT: Integrating Reinforcement Learning and Code-as-policy
by: Liu, Shaoteng, et al.
Published: (2024)
by: Liu, Shaoteng, et al.
Published: (2024)
MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control
by: Zhu, Liwen, et al.
Published: (2021)
by: Zhu, Liwen, et al.
Published: (2021)
Similar Items
-
Cross-Domain Policy Adaptation by Capturing Representation Mismatch
by: Lyu, Jiafei, et al.
Published: (2024) -
Mildly Conservative Q-Learning for Offline Reinforcement Learning
by: Lyu, Jiafei, et al.
Published: (2022) -
Understanding What Affects the Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence
by: Lyu, Jiafei, et al.
Published: (2024) -
PROF: An LLM-based Reward Code Preference Optimization Framework for Offline Imitation Learning
by: Sun, Shengjie, et al.
Published: (2025) -
SEABO: A Simple Search-Based Method for Offline Imitation Learning
by: Lyu, Jiafei, et al.
Published: (2024)