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tianshou

thu-ml / tianshou

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How to support multi-agent reinforcement learning

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youkaichao
youkaichao commented Jul 9, 2020
  • I have marked all applicable categories:
    • exception-raising bug
    • RL algorithm bug
    • documentation request (i.e. "X is missing from the documentation.")
    • new feature request
  • I have visited the [source website], and in particular read the [known issues]
  • I have searched through the [issue tracker] and [issue categories] for duplicates
  • [ ]
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discussion good first issue

cpnota / autonomous-learning-library

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[Question] Change output path

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heyt0ny
heyt0ny commented Oct 31, 2020

Hello!

Really clean and good looking RL lib for Pytorch. I tried all of them, and that's the most I liked so far!

However I wonder how to change output folder path. Seems like I need to change the log_path, defined inside ExperimentWriter class, but I guess there is no way to overwrite it, without changing all the run_experiment internals?

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enhancement good first issue

TianhongDai / reinforcement-learning-algorithms

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This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)

algorithm deep-learning atari2600 flappy-bird deep-reinforcement-learning pytorch dqn ddpg sac actor-critic trpo dueling-dqn trust-region-policy-optimization proximal-policy-optimization ppo a2c soft-actor-critic
  • Updated Nov 15, 2019
  • Python

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