Full-Gradient Successor Feature Representations
Full-Gradient Successor Feature Representations explores A novel reinforcement learning algorithm that improves transfer learning by optimizing successor features with full gradient updates, offering theoretical convergence guarantees and empirical performance gains.. Commercial viability score: 4/10 in Reinforcement Learning.
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