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Milan Peelman

2 accepted papers

2023

MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior

ICML 2023poster

We introduce MABe22, a large-scale, multi-agent video and trajectory benchmark to assess the quality of learned behavior representations. This dataset is collected from a variety of biology experiments, and includes triplets of interacting mice (4.7 million frames video+pose tracking data, 10 millio…

2022

Search-based Reinforcement Learning through Bandit Linear Optimization

IJCAI 2022poster

The development of AlphaZero was a breakthrough in search-based reinforcement learning, by employing a given world model in a Monte-Carlo tree search (MCTS) algorithm to incrementally learn both an action policy and a value estimation. When extending this paradigm to the setting of simultaneous move…