Real-world humanoid locomotion with reinforcement learning.
Ilija RadosavovicTete XiaoBike ZhangTrevor DarrellJitendra MalikKoushil SreenathPublished in: Sci. Robotics (2024)
Keyphrases
- reinforcement learning
- real world
- robot control
- degrees of freedom
- wide range
- data sets
- synthetic data
- function approximation
- markov decision processes
- state space
- mobile robot
- case study
- model free
- evolutionary algorithm
- learning process
- real life
- learning algorithm
- data mining
- decision trees
- humanoid robot
- motion planning
- learning classifier systems
- temporal difference
- real robot
- decision making