Evaluating Optimization Approaches for Deep-Reinforcement-Learning-based Navigation Agents.
Linh KästnerLiam RobertsTeham BhuiyanJens LambrechtPublished in: CIS-RAM (2023)
Keyphrases
- optimization approaches
- reinforcement learning
- multi agent
- optimization methods
- learning agents
- multi agent systems
- action selection
- agent receives
- multi agent reinforcement learning
- multiple agents
- autonomous agents
- single agent
- cooperative
- software agents
- multiagent learning
- multi agent environments
- mathematical programming
- multiagent systems
- robocup soccer
- function approximation
- partial observability
- intelligent agents
- state space
- machine learning
- evolutionary learning
- model free
- multiagent reinforcement learning
- reinforcement learning agents
- learning agent
- stage stochastic programs
- decision making
- artificial agents
- mobile agents
- optimal policy
- reinforcement learning algorithms
- temporal difference
- dynamic environments
- optimization problems
- robot navigation
- decision theoretic
- learning classifier systems
- coalition formation
- agent technology