Memory Gym: Partially Observable Challenges to Memory-Based Agents.
Marco PleinesMatthias PallaschFrank ZimmerMike PreussPublished in: ICLR (2023)
Keyphrases
- partially observable
- partial observability
- decision problems
- multi agent
- markov decision processes
- reinforcement learning
- state space
- dynamical systems
- multi agent systems
- multiagent systems
- multiple agents
- partial observations
- infinite horizon
- partially observable domains
- single agent
- markov decision problems
- partially observable environments
- belief space
- action models
- belief state
- reward function
- planning domains
- initially unknown
- decision theoretic
- coalition formation
- orders of magnitude
- dynamic environments
- decision making
- partially observable markov decision processes
- fully observable
- partial information
- learning algorithm
- state variables
- belief revision
- knowledge base