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Multi-Agent Reinforcement Learning
The dataset used in the paper is a collection of 21 diverse multi-agent tasks in four environments: level-based foraging, boulder-push, multi-robot warehouse, and multi-agent... -
Incentivizing Exploration in Atari
The Incentivizing Exploration in Atari dataset is a collection of 49 Atari games. -
Random Walk dataset
The dataset used in the paper is a collection of states sampled from a Markov Decision Process (MDP) using the random walk exploration method. -
RND dataset
The dataset used in the paper is a collection of states sampled from a Markov Decision Process (MDP) using the RND exploration method. -
SMM dataset
The dataset used in the paper is a collection of states sampled from a Markov Decision Process (MDP) using the SMM exploration method. -
ChronoGEM dataset
The dataset used in the paper is a collection of states sampled from a Markov Decision Process (MDP) using the ChronoGEM exploration method.