- 15 4月, 2019 1 次提交
-
-
由 Hongsheng Zeng 提交于
* add IMPALA algorithm and some common utils * update README.md * refactor files structure of impala algorithm; seperate numpy utils from utils * add hyper parameter scheduler module; add entropy and lr scheduler in impala * clip reward in atari wrapper instead of learner side; fix codestyle * add benchmark result of impala; refine code of impala example; add obs_format in atari_wrappers * Update README.md * add a3c algorithm, A2C example and rl_utils * require training in single gpu/cpu * only check cpu/gpu num in learner * refine Readme * update impala benchmark picture; update Readme * add benchmark result of A2C * move get_params/set_params in agent_base * fix shell script cannot run in ubuntu * refine comment and document * Update README.md * Update README.md
-
- 11 3月, 2019 1 次提交
-
-
由 Bo Zhou 提交于
* Update README.md * Update train.py * Update README.md * Update agent_base.py * Update train.py * Update train.py * Update train.py
-
- 15 1月, 2019 1 次提交
-
-
由 Hongsheng Zeng 提交于
* NeurIPS2018-AI-for-Prosthetics-Challenge training code * remove model_zoo, provide download link * remove model_zoo, provide download link * add restore_from_one_head api, refine README, fix logger bug * fix test bug * fix rpm bug, refine ddpg train script * fix rpm bug, refine Readme
-
- 04 12月, 2018 1 次提交
-
-
由 Hongsheng Zeng 提交于
* add DQN example, add Agent unittest * refine readme * refine code * simplify code
-
- 27 11月, 2018 1 次提交
-
-
由 Bo Zhou 提交于
* add setup.py for installation * rename agent.py to make it consistent with other framework base * namespace bug
-
- 20 11月, 2018 1 次提交
-
-
由 Bo Zhou 提交于
* redesign basic class in PARL * code style fixed * update yaml's version * update yaml's version & update code to fix style problem * add debug message for function * delete test code * rename function: has_fun -> has_func
-
- 12 6月, 2018 1 次提交
-
-
由 Haonan 提交于
added test_simple_games
-
- 06 6月, 2018 1 次提交
-
-
由 Haonan 提交于
* prelimary implementations of ComputationTask, Algorithm and Model classes * remove "model_func" from the args of an algorithm * a clean clone() function for Algorithm and Model * add use_next_value as a input to learn() * further re-structure * added Feedforward and RLAlgorithm classes * maxid -> argmax * discrete_distribution -> category_distribution * category -> categorical * revisions
-