Goal-Conditioned Reinforcement Learning With Disentanglement-Based Reachability Planning.
Zhifeng QianMingyu YouHongjun ZhouXuanhui XuBin HePublished in: IEEE Robotics Autom. Lett. (2023)
Keyphrases
- reinforcement learning
- state space
- planning problems
- goal state
- action selection
- function approximation
- mixed initiative
- deterministic domains
- markov decision processes
- heuristic search
- stochastic domains
- decision support
- multi agent reinforcement learning
- data sets
- machine learning
- robotic control
- reward shaping
- blocks world
- planning systems
- markov decision process
- partially observable
- reinforcement learning algorithms
- ai planning
- model free
- planning domains
- learning problems
- supervised learning
- decision making
- learning algorithm