* added gail entry

* added lunarlander and cartpole config

* added gail mujoco config

* added mujoco exp

* update22-10

* added third exp

* added metric to evaluate policies

* added GAIL entry and config for Cartpole and Walker2d

* checked style and unittest

* restored lunarlander env

* style problems

* bug correction

* Delete expert_data_train.pkl

* changed loss of GAIL

* Update walker2d_ddpg_gail_config.py

* changed gail reward from -D(s, a) to -log(D(s, a))

* added small constant to reward function

* added comment to clarify config

* Update walker2d_ddpg_gail_config.py

* added lunarlander entry + config

* Added Atari discriminator + Pong entry config

* Update gail_irl_model.py

* Update gail_irl_model.py

* added gail serial pipeline and onehot actions for gail atari

* related to previous commit

* removed main files

* removed old comment

* add_pdqn_model

* modify_model_structure

* initial_version_PDQN

* bug_free_PDQN_no_test_convergence

* update_pdqn_config

* add_noise_to_continuous_args

* polish(nyz): polish code style and add noise in pdqn

* seperate_dis_and_cont_model

* fix_bug_for_separation

* fix(pu): current q value use the data action, fix cont loss detach bug, 1 encoder, dist and cont learning rate

* polish(pu): actor delay update

* fix(pu): fix disc cont update frequency

* polish(pu): polish pdqn config

* polish(lk): add comments and typelint for pdqn and dqn

* feature(lk): add test file for pdqn model and policy

* polish(lk): code style

* polish(lk): rm the modify of unrelated files

* polish(lk): rm useless commentes code in pdqn
Co-authored-by: Nniuyazhe <niuyazhe@sensetime.com>
Co-authored-by: Npuyuan1996 <2402552459@qq.com>

* add spaceinvaders multi gpu

* add dp and ddp

* Update __init__.py

* recover init

qrdqn config

feature(nyz): extend torch1.1.0 support

* commit bipedalwalkere_ppo_config

* commit bipedalwalker_sac_config

feature(nyz): enable arbitrary policy num in serial sample collector and evaluator, add git in docker(smac docker)

* small fix

* added bsuite env version

* modified test

* test rnd

* fix mz config

* fix config

* feature(pu): fix r2d2, add beta to actor

* feature(pu): add ngu-dev

* fix(pu): fix r2d2

* fix(puyuan): fix r2d2

* feature(puyuan): add minigrid r2d2 config

* polish minigrid config

* dev-ngu

* feature(pu): add action and reward as inputs of q network

* feature(pu): add episodic reward model

* feature(pu): add episodic reward model, modify r2d2 and collector for ngu

* fix(pu): recover files that were changed by mistake

* fix(pu): fix tblogger cnt bug

* add_dqfd

* Is_expert to is_expert

* fix(pu): fix r2d2 bug

* fix(pu): fix beta index to gamma bug

* fix(pu): fix numerical stability problem

* style(pu): flake8 format

* fix(pu): fix rnd reward model train times

* polish(pu): polish r2d2 reset problem

* fix(pu): fix episodic reward normalize bug

* polish(pu): polish config params and episodic_reward init value

* modify according to the last commnets

* value_gamma;done;marginloss;sqil适配

* feature(pu): add r2d3 algorithm and config of lunarlander and pong

* fix(pu): fix demo path bug

* fix(pu): fix cuda bug at function get_gae in adder.py

* feature(pu): add pong r2d2 config

* polish(pu): r2d2 uses the mixture priority, episodic_reward transforms to mean 0 std1

* polish(pu): polish r2d2 config

* test(pu): test cuda compatiality of dqfd_nstep_td_error in r2d3

* polish(pu): polish config

* polish(pu): polish config and annotation

* fix(pu): fix r2d2 target net update bug and done bug

* polish(pu): polish pong r2d2 config and add montezuma r2d2 config

* polish(pu): add some logs for debugging in r2d2

* polish(pu): recover config deleted by mistake

* fix(pu): fix r2d3 config of lunarlander and pong

* fix(pu): fix the r2d2 bug in r2d3

* fix(pu): fix r2d3 cpu device bug in fun dqfd_nstep_td_error of td.py

* fix(pu): fix n_sample bug in serial_entry_r2d3

* polish(pu): polish minigrid r2d2 config

* fix(pu): add info dict of fourrooms doorkey in minigrid_env

* polish(pu): polish r2d2 config

* fix(pu): fix expert policy collect traj bug, now we use the argmax_sample wrapper

* fix(pu): fix r2d2 done and target update bug, polish config

* fix(pu): fix null_padding transition obs to zeros

* fix(pu): episodic_reward transform to [0,1]

* fix(pu): fix the value_gamma bug

* fix(pu): fix device bug in ngu_reward_model.py

* fix(pu): fix null_padding problem in rnd and episodic reward model

* polish(pu): polish config

* fix(pu): use the deepcopy train_data to add bonus reward

* polish(pu): add the operation of enlarging seq_length times to the last reward of the whole episode

* fix(pu): fix the episode length 1 bug and weight intrinsic reward bug

* feature(pu): add montezuma ngu config

* fix(pu): fix lunarlander ngu unroll_len to 998 so that the sequence length is equal to the max step 1000

* test(pu): episodic reward transforms to [0,1]

* fix(pu): fix r2d3 one-step rnn init bug and add r2d2_collect_traj

* fix(pu): fix r2d2_collect_traj.py

* feature(pu): add pong_r2d3_r2d2expert_config

* polish(pu): yapf format

* polish(pu): fix td.py conflict

* polish(pu): flake8 format

* polish(pu): add lambda_one_step_td key in dqfd error

* test(pu): set key lambda_one_step_td and lambda_supervised_loss as 0

* style(pu): yapf format

* style(pu): format

* polish(nyz): fix ngu detailed compatibility error

* fix(nyz): fix dqfd one_step td lambda bug

* fix(pu): fix test_acer and test_rnd compatibility error
Co-authored-by: NSwain <niuyazhe314@outlook.com>
Co-authored-by: NWill_Nie <nieyunpengwill@hotmail.com>

* 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