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Alexander Rutherford

2 accepted papers

2024

JaxMARL: Multi-Agent RL Environments and Algorithms in JAX

NeurIPS 2024poster

Benchmarks are crucial in the development of machine learning algorithms, significantly influencing reinforcement learning (RL) research through the available environments. Traditionally, RL environments run on the CPU, which limits their scalability with the computational resources typically availa…

2024

No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery

NeurIPS 2024poster

What data or environments to use for training to improve downstream performance is a longstanding and very topical question in reinforcement learning. In particular, Unsupervised Environment Design (UED) methods have gained recent attention as their adaptive curricula promise to enable agents to be…