TAP-Net: transport-and-pack using reinforcement learning.
Ruizhen HuJuzhan XuBin ChenMinglun GongHao ZhangHui HuangPublished in: ACM Trans. Graph. (2020)
Keyphrases
- reinforcement learning
- function approximation
- state space
- model free
- machine learning
- learning algorithm
- reinforcement learning algorithms
- policy search
- temporal difference
- markov decision processes
- robot control
- optimal control
- learning problems
- data sets
- transport network
- visual studio
- multi agent reinforcement learning
- active exploration
- autonomous learning
- control policy
- control problems
- packing problem
- search algorithm
- multi agent
- information systems
- real world