Comparative Evaluation of Multi-Agent Deep Reinforcement Learning Algorithms.
Georgios PapoudakisFilippos ChristianosLukas SchäferStefano V. AlbrechtPublished in: CoRR (2020)
Keyphrases
- comparative evaluation
- reinforcement learning algorithms
- reinforcement learning
- multi agent
- multi agent environments
- model free
- markov games
- markov decision processes
- state space
- reinforcement learning methods
- reinforcement learning problems
- eligibility traces
- temporal difference
- multiagent reinforcement learning
- multiple agents
- reward function
- learning algorithm
- stochastic games
- function approximation
- cooperative
- partially observable environments
- multi agent systems
- policy search
- single agent
- evaluation function
- transfer learning
- multiagent systems
- reward shaping
- policy iteration
- learning agent
- dynamic programming
- hidden markov models
- data mining
- neural network