Generalization to New Actions in Reinforcement Learning.
Ayush JainAndrew SzotJoseph J. LimPublished in: ICML (2020)
Keyphrases
- reinforcement learning
- perceptual aliasing
- action selection
- partially observable
- state and action spaces
- action space
- function approximation
- multiagent reinforcement learning
- partially observable domains
- reward function
- markov decision processes
- state space
- action sets
- partial observability
- state action
- reinforcement learning algorithms
- optimal policy
- multi agent
- learning algorithm
- temporal difference
- robotic control
- model free
- multiple agents
- dynamical systems
- situation calculus
- initially unknown
- goal directed
- plan recognition
- learned knowledge
- decision theoretic
- multi agent reinforcement learning
- reasoning about actions
- agent learns
- human actions
- activity recognition
- initial state
- dynamic programming
- learning process
- reward signal