baselines/baselines/acer/README.md

# ACER

- Original paper: https://arxiv.org/abs/1611.01224
- `python -m baselines.run --alg=acer --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](../../README.md#training-models)
Add ACER, PPO2, and results_plotter.py 2017-11-16 10:02:32 -08:00			`# ACER`

			`- Original paper: https://arxiv.org/abs/1611.01224`
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			- `python -m baselines.run --alg=acer --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](../../README.md#training-models)`