On Agent Incentives to Manipulate Human Feedback in Multi-Agent Reward Learning Scenarios.
Francis Rhys WardFrancesca ToniFrancesco BelardinelliPublished in: AAMAS (2022)
Keyphrases
- learning scenarios
- multi agent
- reinforcement learning
- multi agent systems
- multiagent systems
- multiple agents
- learning experience
- learning situations
- learning activities
- single agent
- learning processes
- intelligent agents
- autonomous agents
- agent interactions
- cooperative agents
- learning environment
- human users
- design process
- software agents
- agent oriented
- handheld devices
- cognitive agents
- learning styles
- reward function
- multi agent environments
- mobile technologies
- agent behavior
- heterogeneous agents
- educational modeling languages
- ims ld
- multi agent coordination
- mobile agents
- reward signal
- learning agent
- personal learning environments
- learning design
- case study