Files

pzhokhov cd375ab209 update readmes (#514 )

* update per-algorithm READMEs to reflect new way of running algorithms

* adding a link to repo-wide README

* updated README files and deepq.train_cartpole example

2018-08-16 14:53:49 -07:00

__init__.py

ACKTR + A2C

2017-08-18 09:25:39 -07:00

a2c.py

refactor a2c, acer, acktr, ppo2, deepq, and trpo_mpi (#490 )

2018-08-13 09:56:44 -07:00

README.md

update readmes (#514 )

2018-08-16 14:53:49 -07:00

runner.py

refactor a2c, acer, acktr, ppo2, deepq, and trpo_mpi (#490 )

2018-08-13 09:56:44 -07:00

utils.py

refactor a2c, acer, acktr, ppo2, deepq, and trpo_mpi (#490 )

2018-08-13 09:56:44 -07:00

README.md

A2C

Original paper: https://arxiv.org/abs/1602.01783
Baselines blog post: https://blog.openai.com/baselines-acktr-a2c/
python -m baselines.run --alg=a2c --env=PongNoFrameskip-v4 runs the algorithm for 40M frames = 10M timesteps on an Atari Pong. See help (-h) for more options
also refer to the repo-wide README.md