12 citations · 31 across the 11 of their papers we have counts for
3 papers · 1 filter
Credit-cognisant reinforcement learning for multi-agent cooperation
F. Bredell, H. A. Engelbrecht, J. C. Schoeman
Traditional multi-agent reinforcement learning (MARL) algorithms, such as independent Q-learning, struggle when presented with partially observable scenarios, and where agents are…
Toward Collaborative Reinforcement Learning Agents that Communicate Through Text-Based Natural Language
Kevin Eloff, Herman A. Engelbrecht
Communication between agents in collaborative multi-agent settings is in general implicit or a direct data stream. This paper considers text-based natural language as a novel form…
Mava: a research library for distributed multi-agent reinforcement learning in JAX
Ruan de Kock, Omayma Mahjoub, Sasha Abramowitz +5
Multi-agent reinforcement learning (MARL) research is inherently computationally expensive and it is often difficult to obtain a sufficient number of experiment samples to test hyp…