Reverse Forward Curriculum Learning for Extreme Sample and Demonstration Efficiency in Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Tao, Stone, Shukla, Arth, Chan, Tse-kai, Su, Hao |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ManiSkill-HAB: A Benchmark for Low-Level Manipulation in Home Rearrangement Tasks
by: Shukla, Arth, et al.
Published: (2024)
by: Shukla, Arth, et al.
Published: (2024)
Offline-to-online Reinforcement Learning for Image-based Grasping with Scarce Demonstrations
by: Chan, Bryan, et al.
Published: (2024)
by: Chan, Bryan, et al.
Published: (2024)
Logical Specifications-guided Dynamic Task Sampling for Reinforcement Learning Agents
by: Shukla, Yash, et al.
Published: (2024)
by: Shukla, Yash, et al.
Published: (2024)
Learning Adaptive Dexterous Grasping from Single Demonstrations
by: Shi, Liangzhi, et al.
Published: (2025)
by: Shi, Liangzhi, et al.
Published: (2025)
CuRLA: Curriculum Learning Based Deep Reinforcement Learning for Autonomous Driving
by: Uppuluri, Bhargava, et al.
Published: (2025)
by: Uppuluri, Bhargava, et al.
Published: (2025)
Uncertainty-Based Smooth Policy Regularisation for Reinforcement Learning with Few Demonstrations
by: Zhu, Yujie, et al.
Published: (2025)
by: Zhu, Yujie, et al.
Published: (2025)
Robot Policy Transfer with Online Demonstrations: An Active Reinforcement Learning Approach
by: Hou, Muhan, et al.
Published: (2025)
by: Hou, Muhan, et al.
Published: (2025)
Sampling-Based Safe Reinforcement Learning
by: Vignola, Luca, et al.
Published: (2026)
by: Vignola, Luca, et al.
Published: (2026)
Human-Aware Robot Navigation via Reinforcement Learning with Hindsight Experience Replay and Curriculum Learning
by: Li, Keyu, et al.
Published: (2021)
by: Li, Keyu, et al.
Published: (2021)
Equivariant Action Sampling for Reinforcement Learning and Planning
by: Zhao, Linfeng, et al.
Published: (2024)
by: Zhao, Linfeng, et al.
Published: (2024)
Efficient and Generalized end-to-end Autonomous Driving System with Latent Deep Reinforcement Learning and Demonstrations
by: Tang, Zuojin, et al.
Published: (2024)
by: Tang, Zuojin, et al.
Published: (2024)
Are LLMs The Way Forward? A Case Study on LLM-Guided Reinforcement Learning for Decentralized Autonomous Driving
by: Anvar, Timur, et al.
Published: (2025)
by: Anvar, Timur, et al.
Published: (2025)
Learning Parameterized Skills from Demonstrations
by: Gupta, Vedant, et al.
Published: (2025)
by: Gupta, Vedant, et al.
Published: (2025)
Policy Decorator: Model-Agnostic Online Refinement for Large Policy Model
by: Yuan, Xiu, et al.
Published: (2024)
by: Yuan, Xiu, et al.
Published: (2024)
Curriculum Is More Influential Than Haptic Information During Reinforcement Learning of Object Manipulation Against Gravity
by: Ojaghi, Pegah, et al.
Published: (2024)
by: Ojaghi, Pegah, et al.
Published: (2024)
Physics-model-guided Worst-case Sampling for Safe Reinforcement Learning
by: Cao, Hongpeng, et al.
Published: (2024)
by: Cao, Hongpeng, et al.
Published: (2024)
Vanishing Bias Heuristic-guided Reinforcement Learning Algorithm
by: Li, Qinru, et al.
Published: (2023)
by: Li, Qinru, et al.
Published: (2023)
Learning Novel Skills from Language-Generated Demonstrations
by: Jin, Ao-Qun, et al.
Published: (2024)
by: Jin, Ao-Qun, et al.
Published: (2024)
Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter Efficient
by: Wang, Wenlong, et al.
Published: (2024)
by: Wang, Wenlong, 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)
RLingua: Improving Reinforcement Learning Sample Efficiency in Robotic Manipulations With Large Language Models
by: Chen, Liangliang, et al.
Published: (2024)
by: Chen, Liangliang, et al.
Published: (2024)
Learning Constraint Network from Demonstrations via Positive-Unlabeled Learning with Memory Replay
by: Peng, Baiyu, et al.
Published: (2024)
by: Peng, Baiyu, et al.
Published: (2024)
LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations
by: Wan, Weikang, et al.
Published: (2025)
by: Wan, Weikang, et al.
Published: (2025)
Exploiting Hybrid Policy in Reinforcement Learning for Interpretable Temporal Logic Manipulation
by: Zhang, Hao, et al.
Published: (2024)
by: Zhang, Hao, et al.
Published: (2024)
Reward Learning from Suboptimal Demonstrations with Applications in Surgical Electrocautery
by: Karimi, Zohre, et al.
Published: (2024)
by: Karimi, Zohre, et al.
Published: (2024)
WOMBET: World Model-based Experience Transfer for Robust and Sample-efficient Reinforcement Learning
by: Kim, Mintae, et al.
Published: (2026)
by: Kim, Mintae, et al.
Published: (2026)
Boundary-to-Region Supervision for Offline Safe Reinforcement Learning
by: Su, Huikang, et al.
Published: (2025)
by: Su, Huikang, et al.
Published: (2025)
DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks
by: Mu, Tongzhou, et al.
Published: (2024)
by: Mu, Tongzhou, et al.
Published: (2024)
Research on Autonomous Robots Navigation based on Reinforcement Learning
by: Wang, Zixiang, et al.
Published: (2024)
by: Wang, Zixiang, et al.
Published: (2024)
Multi-Agent Inverse Reinforcement Learning in Real World Unstructured Pedestrian Crowds
by: Chandra, Rohan, et al.
Published: (2024)
by: Chandra, Rohan, et al.
Published: (2024)
Scaling Sim-to-Real Reinforcement Learning for Robot VLAs with Generative 3D Worlds
by: Choi, Andrew, et al.
Published: (2026)
by: Choi, Andrew, et al.
Published: (2026)
Reinforcement Learning Within the Classical Robotics Stack: A Case Study in Robot Soccer
by: Labiosa, Adam, et al.
Published: (2024)
by: Labiosa, Adam, et al.
Published: (2024)
CLAM: Continuous Latent Action Models for Robot Learning from Unlabeled Demonstrations
by: Liang, Anthony, et al.
Published: (2025)
by: Liang, Anthony, et al.
Published: (2025)
Efficient Imitation Without Demonstrations via Value-Penalized Auxiliary Control from Examples
by: Ablett, Trevor, et al.
Published: (2024)
by: Ablett, Trevor, et al.
Published: (2024)
Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning
by: Liu, Tenglong, et al.
Published: (2024)
by: Liu, Tenglong, et al.
Published: (2024)
ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles
by: Zhao, Kai, et al.
Published: (2023)
by: Zhao, Kai, et al.
Published: (2023)
Research and Design on Intelligent Recognition of Unordered Targets for Robots Based on Reinforcement Learning
by: Mao, Yiting, et al.
Published: (2025)
by: Mao, Yiting, et al.
Published: (2025)
Random Network Distillation Based Deep Reinforcement Learning for AGV Path Planning
by: Yin, Huilin, et al.
Published: (2024)
by: Yin, Huilin, et al.
Published: (2024)
RILe: Reinforced Imitation Learning
by: Albaba, Mert, et al.
Published: (2024)
by: Albaba, Mert, et al.
Published: (2024)
Reinforcement Learning with Action Chunking
by: Li, Qiyang, et al.
Published: (2025)
by: Li, Qiyang, et al.
Published: (2025)
Similar Items
-
ManiSkill-HAB: A Benchmark for Low-Level Manipulation in Home Rearrangement Tasks
by: Shukla, Arth, et al.
Published: (2024) -
Offline-to-online Reinforcement Learning for Image-based Grasping with Scarce Demonstrations
by: Chan, Bryan, et al.
Published: (2024) -
Logical Specifications-guided Dynamic Task Sampling for Reinforcement Learning Agents
by: Shukla, Yash, et al.
Published: (2024) -
Learning Adaptive Dexterous Grasping from Single Demonstrations
by: Shi, Liangzhi, et al.
Published: (2025) -
CuRLA: Curriculum Learning Based Deep Reinforcement Learning for Autonomous Driving
by: Uppuluri, Bhargava, et al.
Published: (2025)