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This repository provides a Gym environment for analyzing the stock market using reinforcement learning techniques. The environment is compatible with MuZero and enables researchers and practitioners to train and evaluate RL agents in simulated stock market scenarios
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61
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feat(Continuous Action space): Now action space is a regression space
cd86c6fView on GitHubrefactor(Render): Show figure is optional with env parameter
0a61245View on GitHubrefactor(step): initial money as penalty then illegal move
ae4b31aView on GitHubrefactor(Reward): Get high reward on good trade and penalty on holding
04006bdView on GitHubrefactor(Reward): Return accumulated total reward instead of step reward
02ba466View on GitHub