Tianshou/docs/requirements.txt

numba
numpy>=1.20
sphinx<7
sphinxcontrib-bibtex
sphinx_rtd_theme>=0.5.1
tensorboard
torch
tqdm
protobuf
pettingzoo
Numba acceleration (#193) Training FPS improvement (base commit is 94bfb32): test_pdqn: 1660 (without numba) -> 1930 discrete/test_ppo: 5100 -> 5170 since nstep has little impact on overall performance, the unit test result is: GAE: 4.1s -> 0.057s nstep: 0.3s -> 0.15s (little improvement) Others: - fix a bug in ttt set_eps - keep only sumtree in segment tree implementation - dirty fix for asyncVenv check_id test 2020-09-02 13:03:32 +08:00			`numba`
fix docs build failure and a bug in a2c/ppo optimizer (#428) * fix rtfd build * list + list -> set.union * change seed of test_qrdqn * add py39 test 2021-08-30 02:07:03 +08:00			`numpy>=1.20`
Fix documentation build (#951) Close #941 rtfd build link: https://readthedocs.org/projects/tianshou/builds/22019877/ Also -- fix two small issues reported by users, see #928 and #930 Note: I created the branch in thu-ml:tianshou instead of Trinkle23897:tianshou to quickly check the rtfd build. It's not a good process since every commit would trigger twice CI pipelines :( 2023-09-26 08:24:08 -07:00			`sphinx<7`
update dqn tutorial 2020-03-29 15:18:33 +08:00			`sphinxcontrib-bibtex`
fix sphinx itemlist render error 2023-03-12 22:27:39 -07:00			`sphinx_rtd_theme>=0.5.1`
fix docs build failure and a bug in a2c/ppo optimizer (#428) * fix rtfd build * list + list -> set.union * change seed of test_qrdqn * add py39 test 2021-08-30 02:07:03 +08:00			`tensorboard`
			`torch`
			`tqdm`
update version to 0.5.0 (#826) 2023-03-12 22:07:16 -07:00			`protobuf`
fix readthedocs build error 2023-02-03 14:55:53 -08:00			`pettingzoo`