SimBelief trains a latent task-belief metric with learned dynamics to speed up task inference and adaptation in sparse-reward meta-RL, outperforming baselines on MuJoCo and panda-gym.
Scalable methods for computing state similarity in deterministic markov decision processes
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Learning Task Belief Similarity with Latent Dynamics for Meta-Reinforcement Learning
SimBelief trains a latent task-belief metric with learned dynamics to speed up task inference and adaptation in sparse-reward meta-RL, outperforming baselines on MuJoCo and panda-gym.