30 citations · 38 across the 4 of their papers we have counts for
4 papers
Evolution Strategies at the Hyperscale
Bidipta Sarkar, Mattie Fellows, Juan Agustin Duque +17
Evolution Strategies (ES) is a class of powerful black-box optimisation methods that are highly parallelisable and can handle non-differentiable and noisy objectives. However, naïv…
JaxMARL: Multi-Agent RL Environments and Algorithms in JAX
Alexander Rutherford, Benjamin Ellis, Matteo Gallici +18
Benchmarks are crucial in the development of machine learning algorithms, with available environments significantly influencing reinforcement learning (RL) research. Traditionally,…
Quasi-Equivalence Discovery for Zero-Shot Emergent Communication
Kalesha Bullard, Douwe Kiela, Franziska Meier +2
Effective communication is an important skill for enabling information exchange in multi-agent settings and emergent communication is now a vibrant field of research, with common s…
On the interaction between supervision and self-play in emergent communication
Ryan Lowe, Abhinav Gupta, Jakob Foerster +2
A promising approach for teaching artificial agents to use natural language involves using human-in-the-loop training. However, recent work suggests that current machine learning m…