Comments (4)
OS: Ubuntu 20.04 LTS
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Just checking -- are you running under Python 3.8?
We currently only support Python 3.6 and 3.7, but will work on getting 3.8 support in very soon (probably early next week)
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A similar thing happened to me. In my case, I use Python 3.6.9 together with pipenv, and pipenv was complaining that it can't find a package satisfying 'tb-nightly<2.4.0a0,>=2.3.0a2'.
This seems to be caused by pipenv: it does not accept pre-release packages, and all tb-nightly versions were specified as 'pre-release'. I checked dm-reverb-nightly's pypi and found that all versions were specified as 'pre-release' too. So if you are using pipenv, passing --pre
option as in pipenv install --pre acme[reverb]
might resolve the issue.
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@aslanides, you're right, dm-reverb-nightly==0.1.0.dev20200529 is not marked as Python 3.8 compatible (although the latest dm-reverb-nightly==0.1.0.dev20200605 is).
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Related Issues (20)
- Missleading errors when using discrete action space with `CanonicalSpecWrapper`
- Error importing `matplotlib`
- examples seem to be broken - examples/baselines/rl_continuous HOT 1
- Use of tf.data.Dataset within tf.function HOT 1
- Library broken HOT 1
- Reverb Replay Buffers + Vectorized/Batched Environments HOT 1
- Is the last layer in distributional critic optimized (jax implementation)? HOT 1
- Reference numbers for `reverb_benchmark.py` HOT 2
- The program always executes behavior clone when running CQLLearner.
- Masked actions in MCTS agent
- Implementing HER with Replay Buffer/Reverb HOT 1
- Issue with ACME's Distributional RL Implementation
- How to launch mutil Actors on different machines?
- Use ACME with Ray Tune ASHAScheduler
- XM Docker distributed experiments don't finish cleanly
- Using Quickstart D4PG tutorial with a gpu
- Is there a num_iterations argument in offline examples? HOT 2
- Gymnasium HOT 1
- Dependency trouble HOT 1
- Dependency trouble
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