Conditional Kernel Imitation Learning for Continuous State Environments.
Rishabh AgrawalNathan DahlinRahul JainAshutosh NayyarPublished in: CoRR (2023)
Keyphrases
- continuous state
- imitation learning
- reinforcement learning
- robotic systems
- finite state
- action space
- maximum margin
- function approximation
- reinforcement learning algorithms
- partially observable markov decision processes
- kernel function
- reinforcement learning methods
- feature space
- humanoid robot
- support vector
- temporal difference
- planning problems
- learning algorithm
- multi agent
- markov decision processes
- model free
- first order logic
- optimal policy
- dynamic environments
- markov chain
- support vector machine
- dynamic programming
- knowledge base