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Acme Alternatives
Similar projects and alternatives to acme
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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dm_control
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
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tmrl
Reinforcement Learning for real-time applications - host of the TrackMania Roborace League
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Mava
🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
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MPO
Pytorch implementation of "Maximum a Posteriori Policy Optimization" with Retrace for Discrete gym environments
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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seed_rl
Discontinued SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
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sample-factory
High throughput synchronous and asynchronous reinforcement learning
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epymarl
An extension of the PyMARL codebase that includes additional algorithms and environment support
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dopamine
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
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RL-Adventure
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
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awesome-reinforcement-learning-lib
GitHub's code repository is all you need
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better acme alternative or higher similarity.
acme reviews and mentions
Posts with mentions or reviews of acme.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-08.
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Fast and hackable frameworks for RL research
I'm tired of having my 200m frames of Atari take 5 days to run with dopamine, so I'm looking for another framework to use. I haven't been able to find one that's fast and hackable, preferably distributed or with vectorized environments. Anybody have suggestions? seed-rl seems promising but is archived (and in TF2). sample-factory seems super fast but to the best of my knowledge doesn't work with replay buffers. I've been trying to get acme working but documentation is sparse and many of the features are broken.
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How much of a MuJoCo simulation or real life robot can you train on a 3090?
I'm training a few algorithms from Deepmind's acme library on some MuJoCo models and I'm wondering how long this will take to train and what it's going to do to my electric bill. Is a 3090 or two enough to train something to keep its balance, or do a task, or do I need to wait for the 8090 to come out?
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Recomendations of framework/library for MARL
Recently dm-acme also added support for multi-agent environments. Acme: https://github.com/deepmind/acme
- Have you used any good DRL library?
- Is there a way to get PPO controlled agents to move a little more gracefully?
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Worthwhile to convert custom env to be dm_env compatible?
Can anyone speak to their experience using acme (https://github.com/deepmind/acme) and by extension dm_env (https://github.com/deepmind/dm_env)? I'm wondering if it would be worthwhile for me to invest the time into converting my custom environment (which loosely follows the standard RL setup) over to this format.
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[D] Physics and Reinforcement Learning - Discussion of Deepmind's work
acme/acme/agents/tf/mpo at master · deepmind/acme · GitHub
- Applied resources in Pytorch?
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deepmind acme compatible with windows?
after installing it in a clean env, I tried to run the example provided for solving the gym cartpole env: https://github.com/deepmind/acme/blob/master/examples/control/run_d4pg_gym.py
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Spec for RL agent implementation?
Acme has a slightly different one: https://github.com/deepmind/acme which includes specs for agents, buffers etc. It is very general. You can see their component description here: https://github.com/deepmind/acme/blob/master/docs/components.md
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A note from our sponsor - SaaSHub
www.saashub.com | 18 Apr 2024
Stats
Basic acme repo stats
11
3,366
5.8
24 days ago
google-deepmind/acme is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of acme is Python.
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