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Web4 okt. 2024 · I have received this answer from the Unity ml-agents GitHub issues section: The DecisionStep also has a group_reward field which is separate from the reward field. The group rewards given to the Cooperative Pushblock agents should be here. We apologize that the collab doesn't point this out explicitly and I will make an update to it. Web4 L. Bus¸oniu, R. Babuska, B. De Schutterˇ f: the probability of ending up in x k+1 after u k is executed in x k is f(x k,u k,x k+1). The agent receives a scalar reward r k+1 ∈ R, according to the reward function ρ: r k+1 =ρ(x k,u k,x k+1).This reward evaluates the immediate effect of action u k, i.e., the transition from x k to x k+1.It says, however, nothing directly about … Web23 apr. 2024 · There are only rewards. The agent's actions directly affect the subsequent data it receives. The agent is rewarded (positive or negative) for each action. The best solution to a problem is decided based on the maximum reward. The goal of reinforcement learning is to choose the best-known action for any given state. pal che so