How RL Agents Behave When Their Actions Are Modified.
Eric D. LangloisTom EverittPublished in: CoRR (2021)
Keyphrases
- action selection
- multiagent reinforcement learning
- multi agent
- multiple agents
- reinforcement learning
- learning agent
- multiagent systems
- agent behavior
- multi agent systems
- decision theoretic
- learned knowledge
- learning agents
- action space
- cooperative
- joint action
- intelligent agents
- autonomous agents
- single agent
- interacting agents
- cognitive agents
- state space
- agent learns
- stochastic games
- intelligent behavior
- robocup soccer
- agent receives
- state transitions
- explicitly represent
- situation calculus
- incomplete knowledge
- dynamic environments
- initially unknown
- reward signal
- cooperative multiagent systems
- partial observability
- partial knowledge
- software agents
- rational agents
- learning algorithm
- reinforcement learning algorithms
- temporal difference
- dynamic programming
- game theoretic
- partially observable domains
- human users
- markov decision processes
- resource allocation