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Jupyter Notebook exploring portfolio optimization strategies for various cryptocurrencies using both classical heuristics and reinforcement learning (RL) agents that learn to dynamically adjust portfolio weights based on historical log-returns, aiming to maximize cumulative returns while controlling risk.

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AruneemB/RL-Heuristics-for-Crypto-Portfolio-Optimization

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Jupyter Notebook exploring portfolio optimization strategies for various cryptocurrencies using both classical heuristics and reinforcement learning (RL) agents that learn to dynamically adjust portfolio weights based on historical log-returns, aiming to maximize cumulative returns while controlling risk.

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