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Model-based Offline Policy Optimization with Adversarial Network (MOAN)
Offline RL framework called MOAN, which introduces a two-player game to improve the generalization capability of the transition model and mitigate the negative effects of... -
Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforceme...
This paper presents advanced techniques of training diffusion policies for offline reinforcement learning (RL). -
TriFinger Dataset
TriFinger dataset for offline reinforcement learning -
Minimalist Approach
The dataset used for training the minimalist approach to offline reinforcement learning. -
Stitching Sub-Trajectories with Conditional Diffusion Model for Goal-Conditio...
Offline Goal-Conditioned Reinforcement Learning (Offline GCRL) is an important problem in RL that focuses on acquiring diverse goal-oriented skills solely from pre-collected...
