Combined Reinforcement Learning via Artificial Potential Field: A Case Study in Pommerman.
Yuqi ZhuShengze LiJieyuan ZhangXinhai XuPublished in: ISCAS (2021)
Keyphrases
- potential field
- reinforcement learning
- dynamic environments
- path planning
- biologically inspired
- mobile robot
- multi robot
- machine learning
- state space
- obstacle avoidance
- force field
- learning algorithm
- learning process
- image processing
- information theoretic
- markov decision processes
- action selection
- real robot
- collision avoidance