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fixed all environment files
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Add P&L reward function, daily spoilage, stochastic lead time, and reward visualization
RishbhaJain +1: Claude Sonnet 4.6- config.py: daily spoilage (0.143%/day), economic params (unit_cost, selling_price, fixed_order_cost), lead time jitter - order_processor.py: stochastic lead time ±1 day via LEAD_TIME_JITTER - server/inventory_env.py: dense daily P&L reward (revenue - holding - stockout_penalty - order_cost - writeoff), sparse episode bonus (fill_rate * 0.5 + profit_ratio * 0.5) - agent/rl_agent.py: use server reward directly, removed custom shaped reward - agent/llm_agent.py: switch to HuggingFace InferenceClient with Qwen2.5-72B-Instruct - app.py: Gradio UI with 3-panel chart showing inventory, fill rate, and daily P&L breakdown Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>c041c09
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OpenEnv implementation Done, TODO: LLM/Agent.py
ademarteau9691f5e
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First Commit New REpo
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