corpus.blog
Claim your blog
Record · corpus.blog/posts/01a0fceb-cb12-7399-b110-5eb9b593f1f4

An Open Source Tool for Scaling Multi-Agent Reinforcement Learning

rise.cs.berkeley.edu · published 2 December 2018

A record is what was published and who pointed at it. The text of the post is not held here: read it at the source, or at its Wayback capture.

Read the post at rise.cs.berkeley.edu Wayback capture
0blogs citing
First cited
—
Most recent
—
Rank this month
not ranked
External links
39
Words captured
2,974

Cited by

No blog we hold has cited this post yet.

Links from this post

Link
Host
https://github.com/ray-project/ray/releases/tag/ray-0.6.0
github.com
https://ieeexplore.ieee.org/document/1032000
ieeexplore.ieee.org
https://www.sciencedirect.com/science/article/pii/S0004370299000521
sciencedirect.com
https://arxiv.org/pdf/1604.06057.pdf
arxiv.org
https://arxiv.org/pdf/1703.01161.pdf
arxiv.org
https://papers.nips.cc/paper/714-feudal-reinforcement-learning.pdf
papers.nips.cc
https://ai.vub.ac.be/~ydehauwe/publications/ICAART2011_2.pdf
ai.vub.ac.be
https://flow-project.github.io/
flow-project.github.io
https://flow-project.github.io/gallery.html
flow-project.github.io
https://flow-project.github.io/index.html
flow-project.github.io
https://www.kt.tu-darmstadt.de/media/kt/publikationen_1/10/17/WPC_16_Dandanov.pdf
kt.tu-darmstadt.de
https://blog.openai.com/openai-five/
blog.openai.com
https://s3-us-west-2.amazonaws.com/openai-assets/dota_benchmark_results/network_diagram_08_06_2018.pdf
s3-us-west-2.amazonaws.com
https://ray.readthedocs.io/en/latest/rllib.html
ray.readthedocs.io
https://en.wikipedia.org/wiki/Q-learning
en.wikipedia.org
https://ray.readthedocs.io/en/latest/rllib-algorithms.html
ray.readthedocs.io
http://arxiv.org/abs/1709.04326
arxiv.org
https://arxiv.org/pdf/1605.06676.pdf
arxiv.org
https://arxiv.org/abs/1803.11485
arxiv.org
https://arxiv.org/abs/1706.02275
arxiv.org
https://neuro.cs.ut.ee/the-use-of-embeddings-in-openai-five/
neuro.cs.ut.ee
https://ray.readthedocs.io/en/latest/rllib-concepts.html
ray.readthedocs.io
https://github.com/ray-project/ray/blob/a221f55b0d611de29324e3b1aa79eec1c10458ba/python/ray/rllib/evaluation/policy_graph.py
github.com
https://github.com/ray-project/ray/blob/07d8cbf414df48fc186f3b859512b50c2700c92c/python/ray/rllib/evaluation/policy_graph.py
github.com
https://github.com/ray-project/ray/blob/master/python/ray/rllib/env/multi_agent_env.py
github.com
https://github.com/openai/gym
github.com
https://github.com/openai/gym/tree/master/gym/spaces
github.com
https://ray.readthedocs.io/en/latest/rllib-models.html
ray.readthedocs.io
https://ray.readthedocs.io/en/latest/rllib-env.html
ray.readthedocs.io
https://github.com/ray-project/ray/blob/master/python/ray/rllib/examples/multiagent_two_trainers.py
github.com
https://bair.berkeley.edu/blog/2018/01/09/ray/
bair.berkeley.edu
https://ray.readthedocs.io/en/latest/tutorial.html
ray.readthedocs.io
https://ray.readthedocs.io/en/latest/actors.html
ray.readthedocs.io
https://github.com/ray-project/ray/blob/master/python/ray/rllib/evaluation/sample_batch.py
github.com
https://github.com/ray-project/ray/tree/master/python/ray/rllib/optimizers
github.com
https://github.com/ray-project/ray/blob/master/python/ray/rllib/examples/multiagent_cartpole.py
github.com
https://bair.berkeley.edu/
bair.berkeley.edu
https://flow-project.github.io/team.html
flow-project.github.io
https://rllib.io
rllib.io