value function
PulseAugur coverage of value function — every cluster mentioning value function across labs, papers, and developer communities, ranked by signal.
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Reinforcement learning agents struggle with partial observability due to critic bias
A new analysis of reinforcement learning agents under partial observability reveals that learning performance suffers more than previously attributed to policy limitations. Researchers found that even when an optimal po…
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New Bounds for Transformer Training via Optimal Control and Robust Optimization
Researchers have developed new finite-sample generalization bounds for training Transformers, framing the process as a Markovian control problem. By analyzing a quantized model and using concentration inequalities, they…
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Google DeepMind: RL agents may implicitly model environments
Researchers at Google DeepMind have demonstrated a method to recover an agent's world model by inverting the Bellman equation, which is typically used to determine optimal policies. This work suggests that reinforcement…