BUG: correct averaging bug in compute_system_rewards
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Assessment
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Newbie friendliness
- 75/100
Research direction
Start at Population.compute_system_rewards, where the issue shows the per-agent statistics are accumulated and the averaging loop is misplaced. Ensure the returned values are averages over the agents rather than raw sums, then verify the method's result for multiple agents.
Written by the indexing model from the issue text.
Description
Summary
Population.compute_system_rewards always returns the raw sum of per-agent stats instead of the average, inflating every value by a factor of N (number of agents).
Bug
The averaging loop has two problems — it modifies agent_reward (the local per-agent dict) instead of reward (the accumulated total), and it sits inside the for agent loop so the result is discarded on the next iteration anyway.
# buggy [header-1](#header-1)
for agent in self.agents:
agent_reward = agent.compute_morphology_statistics()
for k, v in agent_reward.items():
reward[k] += v
# average — wrong variable, wrong scope
for k in agent_reward.keys():
agent_reward[k] = agent_reward[k] / len(self.agents)- Dominant language
- Python
- Stars
- 8
- Forks
- 3
- PR merge metrics
- No merged PRs in 30d
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