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Reginald McLean

1 accepted papers

2025

Meta-World+: An Improved, Standardized, RL Benchmark

NeurIPS 2025poster

Meta-World is widely used for evaluating multi-task and meta-reinforcement learning agents, which are challenged to master diverse skills simultaneously. Since its introduction however, there have been numerous undocumented changes which inhibit a fair comparison of algorithms. This work strives to…

Cited by 0SourcecodeScholar