* feature(lcm): add MBPO algorithm (#87)

* add model-based rl

* fix yazhe's comments

* format

* pass flake8 test

* polish(nyz): polish mbpo import, name and test
Co-authored-by: Nlichuming <lichuming@lichumingdeMacBook-Pro.local>

* fix(nyz): fix gym_hybrid env not scale action bug

* feature(nyz): add PADDPG basic implementation for hybrid action space

* fix(nyz): fix td3/d4pg comatibility bug with new modifications

* fix(nyz): fix hybrid ddpg action type grad bug and update config

* feature(nyz): add eps greedy + multinomial wrapper and gym_hybrid ddpg convergence config

* style(nyz): update PADDPG in README

* test_model_hybrid_qac

* fix_typo_in_README

* test_policy_hybrid_qac

* polish(nyz): polish hybrid action space to dict structure and polish unittest

* fix(nyz): fix td3bc compatibility bug
Co-authored-by: N李可 <like2@CN0014008466M.local>

* feature(nyz): add gobigger baseline

* style(nyz): add gobigger env infor

* feature(nyz): add ignore prefix in default collate

* feautre(nyz): add vsbot training baseline

* fix(nyz): fix to_tensor empty list bug and polish gobigger baseline

* style(nyz): split gobigger baseline code

* add 4 pytest dataset.py learner_aggregator.py learner_hook.py metric_serial_evaluator.py

* fix yapf and flake8 And remove invalid self._env

* fix fake_cls_config.py flake8

* fix(wyh):reward model test

* fix(wyh):sac ppo test

* fix(wyh):ppo_continuous test

* fix(wyh):style

* fix(wyh):ppo test
Co-authored-by: NSwain <niuyazhe314@outlook.com>

* feature(zym): add offlineRL algo td3_bc.

* feature(zym): add offlineRL algo td3_bc.

* feature(zym): add offlineRL algo td3_bc.

* polish(zym): polish some annotations in td3/ddpg/sac/ppo; polish `_forward_collect` and `_foward_eval`.

* fix(lj): fix dimension bug in cql for continuous env.

* fix(zym): fix dimension bug in cql for continuous env.

* fix(zym): fix dimension bug in cql for continuous env.

* polish(zym): update README.md.

* fix(nyz): fix ppo cuda bug and random collect bug

* config(nyz): add pong ppo off policy better config

* fix(nyz): fix ppo device bug in get_train_sample and update ppo offpolicy config

* style(nyz): correct yapf format

* Test in docker

* Add docker test entry

* Trap exit

* Test in docker

* add_soccer_env

* add_info

* close

* format

* test_gym_soccer

* rm_torch

* replay_log

* format_style

* add_gym_soccer_to_readme

* separate render_func

* add_gif_file

* scale_action

* flake_style_format

* resolve_review_comments

* add branch info for gym hybrid

* fix(wyh):model test and policy/entry test

* fix(wyh):delect qacd

* fix(wyh):test serial entry onpolicy

* add_dqfd

* Is_expert to is_expert

* modify according to the last commnets

* value_gamma; done; marginloss; sqil compatibility

* finally shorten the code, revise config

* revise config, style

* add_readme/two_more_config

* correct format
Co-authored-by: Nniuyazhe <niuyazhe@sensetime.com>

* fix(wyh):test rl_utils code

* fix(wyh):modify rl utils bug ppo adv batch B,A

* fix(wyh):style

* fix(wyh):fix bug

* feature(nyz): add gym-hybrid hybrid action space env

* style(nyz): update readme for gym_hybrid env

* slime volley env in dizoo, first commit

* fix bug in slime volley env

* modify volley env to satisfy ding 1v1 requirements; add naive self-play and league training pipeline(evaluator is not finished, now use a very naive one)

* adopt volley builtin ai as default eval opponent

* polish(nyz): polish slime_volley_env and its test

* feature(nyz): add slime_volley vs bot ppo demo

* feature(nyz): add battle_sample_serial_collector and adapt abnormal check in subprocess env manager

* feature(nyz): add slime volley self-play demo

* style(nyz): add slime_volleyball env gif and split MARL and selfplay label

* feature(nyz): add save replay function in slime volleyball env
Co-authored-by: Nzlx-sensetime <zhaoliangxuan@sensetime.com>
Co-authored-by: Nniuyazhe <niuyazhe@sensetime.com>

* added experience replay and n-step

* implementing distributional q value

* added distributional q-value

* added overview in qac_dist and d4pg

* derived D4PG from DDPG

* fixed a bug when action shape >1

* benchmark D4PG mujoco + minor fixs

-entry for DDPG mujoco
-entry for D4PG mujoco
-config for D4PG mujoco
-fixed style D4PG code
-unittests for QAC distributional

* formatted code

* minor updates (read description)

-added d4pg seria_entry test
-updated comments in QACDIST
-added d4pg in commander register
-added q_value in d4pg return dict
-added priority update in d4pg entry
-added assertion in QACDIST

* feature(zym): add offlineRL algo Discrete CQL.

* feature(zym): add offlineRL algo Discrete CQL; add hdf5 dataset for offlineRL.