AI
强化学习
定义待编辑审核。
机器人领域的强化学习：已记录 7 家公司、19 篇论文和 21 篇报道，包括Holiday Robotics、Robotis、Skild AI、另外 4 家。
公司
7
相关公司融资
20.7亿美元
论文
10
报道
10
布局该技术的公司
- 1.05亿美元
- Robotis核心—
- 17亿美元
- 1.5亿美元
- 1.1亿美元
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推动该技术的论文
- Evo-RL: Iterative Robot Reinforcement Learning from Selective Experience
- Dream to Remember: Continual Steering of Generalist Robot Policies with World Models
- Reflect-VLA: Internalizing Reflective Guidance via Dual-Path On-Policy Self-Distillation for Autonomous Driving
- MARGoS: A Configuration-Driven Platform for Reproducible MARL Experiments in ARGoS
- UniIntervene++: An Adaptive Intervention Agent for Efficient Real-World Reinforcement Learning
- Bidirectional Voronoi-biased Exploration Curriculum for Reinforcement Learning
- VIGOR: Zero-Shot Visual Generalization via Latent-Space Consistency in Model-Based Reinforcement Learning
- How to Find and Reuse Policies for Continuous Adaptation in Lifelong Reinforcement Learning
- PROMO: Preference-conditioned Multi-Objective Reinforcement Learning for Quadrupedal Robots
- Test-time Multi-agent Coordination by Decomposed Value Gradient Flow