Dual RL: Unification and New Methods for Reinforcement and Imitation Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Sikchi, Harshit, Zheng, Qinqing, Zhang, Amy, Niekum, Scott |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Dual Approach to Imitation Learning from Observations with Offline Datasets
by: Sikchi, Harshit, et al.
Published: (2024)
by: Sikchi, Harshit, et al.
Published: (2024)
SMORE: Score Models for Offline Goal-Conditioned Reinforcement Learning
by: Sikchi, Harshit, et al.
Published: (2023)
by: Sikchi, Harshit, et al.
Published: (2023)
An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning
by: Xu, Haoran, et al.
Published: (2025)
by: Xu, Haoran, et al.
Published: (2025)
Regularized Latent Dynamics Prediction is a Strong Baseline For Behavioral Foundation Models
by: Jajoo, Pranaya, et al.
Published: (2026)
by: Jajoo, Pranaya, et al.
Published: (2026)
Fast Adaptation with Behavioral Foundation Models
by: Sikchi, Harshit, et al.
Published: (2025)
by: Sikchi, Harshit, et al.
Published: (2025)
RLZero: Direct Policy Inference from Language Without In-Domain Supervision
by: Sikchi, Harshit, et al.
Published: (2024)
by: Sikchi, Harshit, et al.
Published: (2024)
Contrastive Preference Learning: Learning from Human Feedback without RL
by: Hejna, Joey, et al.
Published: (2023)
by: Hejna, Joey, et al.
Published: (2023)
Proto Successor Measure: Representing the Behavior Space of an RL Agent
by: Agarwal, Siddhant, et al.
Published: (2024)
by: Agarwal, Siddhant, et al.
Published: (2024)
Online Intrinsic Rewards for Decision Making Agents from Large Language Model Feedback
by: Zheng, Qinqing, et al.
Published: (2024)
by: Zheng, Qinqing, et al.
Published: (2024)
RILe: Reinforced Imitation Learning
by: Albaba, Mert, et al.
Published: (2024)
by: Albaba, Mert, et al.
Published: (2024)
TDMPBC: Self-Imitative Reinforcement Learning for Humanoid Robot Control
by: Zhuang, Zifeng, et al.
Published: (2025)
by: Zhuang, Zifeng, et al.
Published: (2025)
Diffusion World Model: Future Modeling Beyond Step-by-Step Rollout for Offline Reinforcement Learning
by: Ding, Zihan, et al.
Published: (2024)
by: Ding, Zihan, et al.
Published: (2024)
Imitation Learning from Observation through Optimal Transport
by: Chang, Wei-Di, et al.
Published: (2023)
by: Chang, Wei-Di, et al.
Published: (2023)
Physics-informed Imitative Reinforcement Learning for Real-world Driving
by: Zhou, Hang, et al.
Published: (2024)
by: Zhou, Hang, et al.
Published: (2024)
Using Non-Expert Data to Robustify Imitation Learning via Offline Reinforcement Learning
by: Huang, Kevin, et al.
Published: (2025)
by: Huang, Kevin, et al.
Published: (2025)
Robot Air Hockey: A Manipulation Testbed for Robot Learning with Reinforcement Learning
by: Chuck, Caleb, et al.
Published: (2024)
by: Chuck, Caleb, et al.
Published: (2024)
DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning
by: Wan, Weikang, et al.
Published: (2024)
by: Wan, Weikang, et al.
Published: (2024)
Dual Action Policy for Robust Sim-to-Real Reinforcement Learning
by: Terence, Ng Wen Zheng, et al.
Published: (2024)
by: Terence, Ng Wen Zheng, et al.
Published: (2024)
CREStE: Scalable Mapless Navigation with Internet Scale Priors and Counterfactual Guidance
by: Zhang, Arthur, et al.
Published: (2025)
by: Zhang, Arthur, et al.
Published: (2025)
Evaluation-Aware Reinforcement Learning
by: Deshmukh, Shripad Vilasrao, et al.
Published: (2025)
by: Deshmukh, Shripad Vilasrao, et al.
Published: (2025)
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)
Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms
by: Rafailov, Rafael, et al.
Published: (2024)
by: Rafailov, Rafael, et al.
Published: (2024)
A Recipe for Stable Offline Multi-agent Reinforcement Learning
by: Lee, Dongsu, et al.
Published: (2026)
by: Lee, Dongsu, et al.
Published: (2026)
RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback
by: Wang, Yufei, et al.
Published: (2024)
by: Wang, Yufei, et al.
Published: (2024)
RL-100: Performant Robotic Manipulation with Real-World Reinforcement Learning
by: Lei, Kun, et al.
Published: (2025)
by: Lei, Kun, et al.
Published: (2025)
ARC-RL: A Reinforcement Learning Playground Inspired by ARC Raiders
by: Romeo, Carlo, et al.
Published: (2026)
by: Romeo, Carlo, et al.
Published: (2026)
Generalization Capability for Imitation Learning
by: Wang, Yixiao
Published: (2025)
by: Wang, Yixiao
Published: (2025)
CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning
by: Rowe, Luke, et al.
Published: (2024)
by: Rowe, Luke, et al.
Published: (2024)
Dual-Force: Enhanced Offline Diversity Maximization under Imitation Constraints
by: Kolev, Pavel, et al.
Published: (2025)
by: Kolev, Pavel, et al.
Published: (2025)
One-Shot Imitation Learning with Invariance Matching for Robotic Manipulation
by: Zhang, Xinyu, et al.
Published: (2024)
by: Zhang, Xinyu, et al.
Published: (2024)
VendiRL: A Framework for Self-Supervised Reinforcement Learning of Diversely Diverse Skills
by: Lintunen, Erik M.
Published: (2025)
by: Lintunen, Erik M.
Published: (2025)
RIZE: Adaptive Regularization for Imitation Learning
by: Karimi, Adib, et al.
Published: (2025)
by: Karimi, Adib, et al.
Published: (2025)
Learning to Drive by Imitating Surrounding Vehicles
by: Sonmez, Yasin, et al.
Published: (2025)
by: Sonmez, Yasin, et al.
Published: (2025)
Diffusion-Reward Adversarial Imitation Learning
by: Lai, Chun-Mao, et al.
Published: (2024)
by: Lai, Chun-Mao, et al.
Published: (2024)
Imitation Learning from Observation with Automatic Discount Scheduling
by: Liu, Yuyang, et al.
Published: (2023)
by: Liu, Yuyang, et al.
Published: (2023)
Memory-Consistent Neural Networks for Imitation Learning
by: Sridhar, Kaustubh, et al.
Published: (2023)
by: Sridhar, Kaustubh, et al.
Published: (2023)
Self-evolved Imitation Learning in Simulated World
by: Ye, Yifan, et al.
Published: (2025)
by: Ye, Yifan, et al.
Published: (2025)
Failure-Aware RL: Reliable Offline-to-Online Reinforcement Learning with Self-Recovery for Real-World Manipulation
by: Li, Huanyu, et al.
Published: (2026)
by: Li, Huanyu, et al.
Published: (2026)
SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning
by: Li, Haozhan, et al.
Published: (2025)
by: Li, Haozhan, et al.
Published: (2025)
Assuring the Safety of Reinforcement Learning Components: AMLAS-RL
by: Imrie, Calum Corrie, et al.
Published: (2025)
by: Imrie, Calum Corrie, et al.
Published: (2025)
Similar Items
-
A Dual Approach to Imitation Learning from Observations with Offline Datasets
by: Sikchi, Harshit, et al.
Published: (2024) -
SMORE: Score Models for Offline Goal-Conditioned Reinforcement Learning
by: Sikchi, Harshit, et al.
Published: (2023) -
An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning
by: Xu, Haoran, et al.
Published: (2025) -
Regularized Latent Dynamics Prediction is a Strong Baseline For Behavioral Foundation Models
by: Jajoo, Pranaya, et al.
Published: (2026) -
Fast Adaptation with Behavioral Foundation Models
by: Sikchi, Harshit, et al.
Published: (2025)