Push the Limit: Learning High-Speed Sprinting and Aggressive Cornering on a Full-Scale Humanoid
cs.RO
Submitted: 2026-10-10
Updated: 2026-10-10
Sources
- Adversarial Motion Priors Make Good Substitutes for Complex Reward Functions
- Advanced Skills through Multiple Adversarial Motion Priors in Reinforcement Learning
- Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning
- Hybrid Internal Model: Learning Agile Legged Locomotion with Simulated Robot Response
- Decision Transformer: Reinforcement Learning via Sequence Modeling
- Body Transformer: Leveraging Robot Embodiment for Policy Learning
- Sim-to-Real Learning of All Common Bipedal Gaits via Periodic Reward Composition
- Rapid Locomotion via Reinforcement Learning
- Expressive Whole-Body Control for Humanoid Robots
- HumanPlus: Humanoid Shadowing and Imitation from Humans
- Proximal Policy Optimization Algorithms
- High-Dimensional Continuous Control Using Generalized Advantage Estimation
- Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World
- Retargeting Matters: General Motion Retargeting for Humanoid Motion Tracking
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