Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces.
Garrett WarnellNicholas R. WaytowichVernon LawhernPeter StonePublished in: CoRR (2017)
Keyphrases
- high dimensional
- state space
- multi agent
- intelligent agents
- conversational agents
- multi agent systems
- multiagent systems
- low dimensional
- reward shaping
- multiple agents
- state abstraction
- data points
- sparse data
- reinforcement learning algorithms
- nearest neighbor
- partially observable
- agent systems
- agent model
- reinforcement learning
- variable selection
- belief state
- virtual reality
- computer graphics
- mobile agents
- similarity search
- user interaction
- learning agent
- multi dimensional
- decision making
- markov decision process
- conversational agent
- reward function
- metric space
- microarray data
- user friendly
- machine learning
- noisy data
- markov decision processes
- initial state
- autonomous agents
- markov chain
- dimensionality reduction
- feature space
- search algorithm