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AI4Finance-Foundation / FinRL

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reward decreasing during training

scaro86
scaro86 commented Mar 21, 2022

Hi,
I am currently using your FinRL_PortfolioAllocation_NeurIPS_2020 code and I have some strange behavior at the beginning of training. Sometimes the first episode reward mean value is super high and then drops during the training as shown on the tensorboard plot. This high value is never reached again. Any idea why this is happening ?

Edit: I'm training PPO agent from stablebaselines3 wit

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bug good first issue
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sudharsan13296 / Hands-On-Reinforcement-Learning-With-Python

Star 732

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

reinforcement-learning monte-carlo deep-reinforcement-learning openai-gym q-learning deep-learning-algorithms policy-gradient sarsa deep-q-network markov-decision-processes asynchronous-advantage-actor-critic double-dqn trpo dueling-dqn deep-deterministic-policy-gradient ppo deep-recurrent-q-network drqn hindsight-experience-replay policy-gradients
  • Updated Oct 7, 2020
  • Jupyter Notebook
gym-super-mario-bros

Kautenja / gym-super-mario-bros

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Plot Render

Kautenja
Kautenja commented Jan 4, 2019

Is your feature request related to a problem? Please describe.

No

Describe the solution you'd like

A render mode that utilizes the x y position of Mario and static maps of each level to plot a simple point on a graph. Each episode could overlay as an "extended exposure" of the training, validation, or testing procedure.

Describe alternatives you've considered

NA

A

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enhancement help wanted good first issue

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