How RL Agents Behave When Their Actions Are Modified.
Eric D. LangloisTom EverittPublished in: AAAI (2021)
Keyphrases
- action selection
- multiagent reinforcement learning
- multiple agents
- multi agent
- reinforcement learning
- learning agent
- agent behavior
- learning agents
- multiagent systems
- multi agent systems
- action space
- learned knowledge
- decision theoretic
- cooperative
- interacting agents
- single agent
- joint action
- cognitive agents
- explicitly represent
- partial observability
- agent receives
- autonomous agents
- learning capabilities
- state space
- agent learns
- intelligent agents
- software agents
- reasoning process
- decision making
- reward signal
- agent based simulation
- initially unknown
- intelligent behavior
- stochastic games
- robocup soccer
- reinforcement learning algorithms
- agent architecture
- state transitions
- markov decision processes
- partial knowledge
- speech acts
- past experience
- temporal difference
- incomplete knowledge
- reward function
- dynamic environments
- coalition formation