Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks.
Georgios PapoudakisFilippos ChristianosLukas SchäferStefano V. AlbrechtPublished in: NeurIPS Datasets and Benchmarks (2021)
Keyphrases
- reinforcement learning algorithms
- multi agent
- cooperative
- reinforcement learning
- multi agent environments
- multiagent reinforcement learning
- multi agent systems
- reinforcement learning problems
- model free
- state space
- markov decision processes
- tabula rasa
- markov games
- learning algorithm
- reinforcement learning methods
- stochastic games
- transfer learning
- function approximation
- single agent
- policy search
- multiple agents
- eligibility traces
- partially observable environments
- support vector machine
- optimal policy
- reward function
- hidden markov models
- active learning