Embodied Robotics Research

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Folder: papers/rl-robotics

60 items under this folder.

Aug 26, 2026
R³: Training Robots to Reason in Natural Language via Reinforcement Learning
Aug 21, 2026
Beyond Imitation: Self-Improving Robot Policies via Off-Policy Q-Planning
Aug 17, 2026
Temporal GRPO: Beyond Trajectory-Level Credit in Vision-Language-Action Reinforcement Learning
Aug 10, 2026
MiDAS: Adaptation of Generalist Robot Policies with Minimal Data
Aug 10, 2026
RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance
Aug 05, 2026
Retrieve in Time, Correct in Frequency (RTCF)
Aug 02, 2026
SP3O: Reinforcement Learning from Segment Preferences without Reward Modeling
Jul 22, 2026
Progress Reward Modeling for Robotic Learning: A Comprehensive Survey
Jul 17, 2026
Never Too Late for Force: Accelerating VLA Post-Training with Reactive Force Injection
Jul 14, 2026
DenseReward: Dense Reward Learning via Failure Synthesis for Robotic Manipulation
Jul 14, 2026
DexVerse: A Modular Benchmark for Multi-Task, Multi-Embodiment Dexterous Manipulation
Jul 13, 2026
REGRIND: A Minimalist Retargeting-Guided Reinforcement Learning Recipe for Dexterous Manipulation
Jul 13, 2026
SceneSmith: Agentic Scene Generation for Scalable Robot Training Data
Jul 06, 2026
Leveraging Offline Supervision for Efficient and Generalizable Reinforcement Learning in Large-Scale Vision-Language-Action Models
Jul 02, 2026
One Demonstration Is Enough for Real-World Robotic Reinforcement Learning
Jun 30, 2026
ASPIRE: Agentic Skills Discovery for Robotics
Jun 30, 2026
Freeform Preference Learning for Robotic Manipulation
Jun 29, 2026
MAPL: Multi-Objective Preference Learning for Robot Locomotion
Jun 29, 2026
Trust Your Instincts: Confidence-Driven Test-Time RL for Vision-Language-Action Models
Jun 26, 2026
Adapting Generalist Robot Policies with Semantic Reinforcement Learning
Jun 25, 2026
Support-Constrained RL Enables Real-World Policy Improvement without Real-World Experience (SCORE)
Jun 25, 2026
Automating Potential-based Reward Shaping with Vision Language Model Guidance
Jun 24, 2026
RARM: Confidence-Gated Progress Reward Modeling for RL in Manipulation
Jun 23, 2026
dVLA-RL: Reinforcement Learning over Denoising Trajectories for Discrete Diffusion VLAs
Jun 19, 2026
Robot Self-Improvement via Human-Video Dynamics Models
Jun 17, 2026
ENPIRE: Agentic Robot Policy Self-Improvement in the Real World
Jun 17, 2026
Playful Agentic Robot Learning
Jun 16, 2026
RHO: Your Coding Agent is Secretly a Roboticist
Jun 15, 2026
ROVE: Unlocking Human Interventions for Humanoid Manipulation via Reinforcement Learning
Jun 15, 2026
UniIntervene: Agentic Intervention for Efficient Real-World Reinforcement Learning
Jun 13, 2026
Improving Robotic Generalist Policies via Flow Reversal Steering
Jun 11, 2026
DiPOD: Diffusion Policy Optimization without Drifting Apart
Jun 10, 2026
TacCoRL: Integrating Tactile Feedback into VLA via Simulation Co-Training and RL
Jun 10, 2026
TORL-VLA: Tactile Guided Online Reinforcement Learning for Contact-Rich Manipulation
Jun 09, 2026
DexPIE: Stable Dexterous Policy Improvement from Real-World Experience
Jun 09, 2026
MARCH: Model-Assisted Reinforcement Learning for the Perceptive Control of Humanoids over Sparse Footholds
Jun 09, 2026
SARM2: Multi-Task Stage Aware Reward Modeling for Self Improving Robotic Manipulation
Jun 08, 2026
ReCoVLA: VLM-Guided Reward Compilation for Failure Recovery in Vision-Language-Action Policies
Jun 04, 2026
Accelerating and Scaling MPC-Guided Reinforcement Learning for Humanoid Locomotion and Manipulation
Jun 04, 2026
VISTA: Vision-Grounded and Physics-Validated Adaptation of UMI Data for VLA Training
Jun 03, 2026
FlowPRO: Reward-Free Reinforced Fine-Tuning of Flow-Matching VLAs via Proximalized Preference Optimization
Jun 03, 2026
PACT: Preference-Calibrated Human-in-the-Loop Reinforcement Learning for Robotic Manipulation
Jun 01, 2026
From Demonstrations to Rewards: Test-Time Prompt Optimization for VLM Reward Models
May 28, 2026
BORA: Bridging Offline Reinforcement Learning and Online Residual Adaptation for Real-World Dexterous VLA Models
May 26, 2026
Can VLA Models Learn from Real-World Data Continually without Forgetting?
May 15, 2026
OHP-RL: Online Human Preference as Guidance in Reinforcement Learning for Robot Manipulation
May 13, 2026
D-VLA: A High-Concurrency Distributed Asynchronous Reinforcement Learning Framework for Vision-Language-Action Models
May 01, 2026
Learning while Deploying: Fleet-Scale Reinforcement Learning for Generalist Robot Policies
Apr 28, 2026
LaST-R1: Reinforcing Robotic Manipulation via Adaptive Physical Latent Reasoning
Apr 24, 2026
RL Token: Bootstrapping Online RL with Vision-Language-Action Models
Apr 06, 2026
FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control
Mar 28, 2026
SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning
Mar 24, 2026
Grounding Sim-to-Real Generalization in Dexterous Manipulation: An Empirical Study with Vision-Language-Action Models
Mar 19, 2026
Scaling Sim-to-Real Reinforcement Learning for Robot VLAs with Generative 3D Worlds
Mar 18, 2026
AcceRL: A Distributed Asynchronous Reinforcement Learning and World Model Framework for Vision-Language-Action Models
Mar 17, 2026
Large Reward Models: Generalizable Online Robot Reward Generation with Vision-Language Models
Feb 23, 2026
What Matters for Simulation to Online Reinforcement Learning on Real Robots
Feb 13, 2026
RLinf-Co: Reinforcement Learning-Based Sim-Real Co-Training for VLA Models
Feb 11, 2026
Towards Long-Lived Robots: Continual Learning VLA Models via Reinforcement Fine-Tuning
Feb 10, 2026
TwinRL-VLA: Digital Twin-Driven Reinforcement Learning for Real-World Robotic Manipulation

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