Discrete and Continuous Action Representation for Practical RL in Video Games.
Olivier DelalleauMaxim PeterEloi AlonsoAdrien LogutPublished in: CoRR (2019)
Keyphrases
- video games
- continuous action
- continuous state
- policy search
- reinforcement learning
- action space
- continuous domains
- educational games
- game playing
- learning experience
- game play
- state space
- computer games
- game design
- partially observable markov decision processes
- commercial games
- robot navigation
- serious games
- linear programming
- learning process
- mathematics learning
- multi agent