Files

pzhokhov 75b93b890e implement pdfromlatent in BernoulliPdType (#81 )

* implement pdfromlatent in BernoulliPdType

* remove env.close() at the end of algorithms

* test case for environment after learn

* closing env in run.py

* fixes for acktr and trpo_mpi

* add make_session with new graph for every call in test_env_after_learn

* remove extra prints from test_env_after_learn

2018-09-07 16:35:00 -07:00

__init__.py

Add ACER, PPO2, and results_plotter.py

2017-11-16 10:02:32 -08:00

defaults.py

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

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

ppo2.py

implement pdfromlatent in BernoulliPdType (#81 )

2018-09-07 16:35:00 -07:00

README.md

update readmes (#514 )

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

README.md

PPO2

Original paper: https://arxiv.org/abs/1707.06347
Baselines blog post: https://blog.openai.com/openai-baselines-ppo/
python -m baselines.run --alg=ppo2 --env=PongNoFrameskip-v4 runs the algorithm for 40M frames = 10M timesteps on an Atari Pong. See help (-h) for more options.
python -m baselines.run --alg=ppo2 --env=Ant-v2 --num_timesteps=1e6 runs the algorithm for 1M frames on a Mujoco Ant environment.
also refer to the repo-wide README.md