AI
강화학습
정의는 편집 검토를 거쳐 추가됩니다.
로봇 산업의 강화학습: 기업 7곳, 논문 47편, 기사 21건을 기록하고 있습니다. 주요 기업은 Holiday Robotics, Robotis, Skild AI 외 4곳입니다.
기업
7
관련 기업 투자 합계
20.7억 달러
논문
10
기사
10
이 기술로 사업하는 기업
- 1.05억 달러
- Robotis핵심—
- 17억 달러
- 1.5억 달러
- 1.1억 달러
- —
- —
이 기술을 발전시키는 논문
- Modeling and Understanding Neural Weights of Humanoid Policies with Diffusion
- VLRLA: Deployment-Time Adaptation of Vision-Language-Action Models through In-Context Reinforcement Learning
- PolyMorph: Learning Locomotion Policy for Cross-Embodiment Adaptation
- Instruction-Conditioned Motion Control for Robotic Arms: Language-to-Code Decomposition and Reinforcement Learning
- E2DRL: End-to-End Differentiable Reinforcement Learning for 3D Obstacle Avoidance in Quadruped Robots
- Safe Reinforcement Learning with Receding-Horizon Safety Critic and Differentiable Action Shields
- Walk Like This: Stylized Locomotion for Physics-Based Characters through Example-Driven Diffusion
- CALM: Decentralized Control of Cooperative Aerial Manipulation with Multi-Agent Reinforcement Learning
- ACCRUE: Continual Off-Policy Reinforcement Learning for Robot Foundation Models
- TRACE: Efficient Transfer Learning for Neural Whole-Body Control Across Humanoid Embodiments