* feature(lk): add initial version of MP-PDQN

* fix(lk): fix expand function bug

* refactor(nyz): refactor mpdqn continuous args inputs module

* fix(nyz): fix pdqn scatter index generation

* fix(lk): fix pdqn scatter assignment bug

* feature(lk): polish mpdqn code and style format

* feature(lk): add mpdqn config and test file

* feature(lk): polish mpdqn code and style format

* fix(lk): fix import bug

* polish(lk): add test for mpdqn

* polish(lk): polish code style and format

* polish(lk): rm print debug info

* polish(lk): rm print debug info

* polish(lk): polish code style and format

* polish(lk): add MPDQN in readme.md
Co-authored-by: Nniuyazhe <niuyazhe@sensetime.com>

* added r2d2 + a2c configs

* changed convergence reward for some env

* removed configs that don't converge

* removed 'on_policy' param in 2rd2 configs

* fix(pu): fix adam weight decay bug

* feature(pu): add pitfall offppo config

* feature(pu): add qbert spaceinvaders pitfall r2d3 config

* fix(pu): fix expert offfppo config in r2d3

* fix(pu): fix pong connfig

* polish(pu): add loss statistics

* fix(pu): fix loss statistics bug

* polish(pu): polish pong r2d3 config

* polish(pu): polish r2d3 pong and lunarlander config

* polish(pu): delete unused files

* add apple key to door treasure and polish

* add test, revise reward, build four envs

* add 7x7-1 ADTKT

* curisity_icm_v1

* modified version1

* modified v2

* one_hot function change

* add paper information

* format minigrid ppo curiosity

* flake8 ding checked

* 6th-Oct-gpu-modified

* reset configs in minigrid files

* minigird-env-doorkey88-100-300

* use modulelist instead of list in icm module

* change icm reward model

* delete origin curiosit_reward model and add icm_reward model

* modified icm reward model

* polish icm model by zt, (1) polish ding/reward_model/icm_reward_model.py and related __init__.py (2) add config files for pong:dizoo/atari/config/serial/pong/pong_ppo_offpolicy_icm.py and minigrid env: dizoo/minigrid/config/doorkey8_icm_config.py,fourroom_icm_config.py,minigrid_icm_config.py  (3) add element icm in README

* remove some useless config files in minigrid

* remove redundant part in ppo.py, add cartpole_ppo_icm_config.py, changed test_icm.py and Readme

* guided_cost

* max_e

* guided_cost

* fix(wyh):fix guided cost recompute bug

* fix(wyh):add model save

* feature(wyh):polish guided cost

* feature(wyh):on guided cost

* fix(wyh):gcl-modify

* fix(wyh):gcl sac config

* fix(wyh):gcl style

* fix(wyh):modify comments

* fix(wyh):masac_5m6m best config

* fix(wyh):sac bug

* fix(wyh):GCL readme

* fix(wyh):GCL readme conflicts

* test rnd

* fix mz config

* fix config

* fix config

* fix(pu): fix r2d2

* fix(pu): fix ppo-onpolicy-rnd adv bug

* fix(puyuan): fix r2d2

* feature(puyuan): add minigrid r2d2 config

* polish minigrid config

* dev-ppo-onpolicy-rnd

* fix(pu): fix rnd reward normalize bug

* feature(pu): add minigrid fourrooms and doorkey env info

* feature(pu): add serial_entry_onpolicy

* fix(pu): fix config params of onpolicy ppo

* feature(pu): add obs normalization

* polish(pu): polish rnd intrinsic reward normalization

* fix(pu): fix clear data bug

* test(pu): add off-policy ppo config

* polish(pu): polish minigrid onppo-rnd config

* polish(pu): polish rnd reward model and minigrid config for rnd_onppo

* polish(pu): polish minigrid rnd_onppo config

* feature(pu): add gym-minigrid

* fix(pu): fix ISerialEvaluator bug

* fix(pu): fix cuda device compatibility

* fix(pu): fix MiniGrid-ObstructedMaze-2Dlh-v0 env_id bug

* polish(pu): squash rnd intrinsic reward to [0,1] according to the batch min and max

* style(pu): yapf format

* polich(pu):polish pitfall offppo config

* polish(pu): polish rnd-onppo and onppo config

* polish(pu): polish config and weight last reward

* polish(pu):polish rnd-onppo config

* fix(pu)" fix mujoco onppo config

* fix(pu): fix continous version of  dict_data_split_traj_and_compute_adv

* polish(pu):polish config

* fix(pu): add key traj_flag in data to split traj correctly  when ignore_done is True in halfcheetah

* polish(pu): polish annatation

* polish(pu): withdraw files submitted wrongly

* polish(pu): withdraw files deleted wrongly

* polish(pu): polish onppo config

* fix(pu): fix remaining_traj_data recompute adv bug and polish rnd onppo code

* style(pu): yapf format

* polish(pu): polish gae_traj_flag function

* polish(pu): delete redundant function in onppo

* 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

* commit bipedalwalkere_ppo_config

* commit bipedalwalker_sac_config

* 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

* 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

* 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

* 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>

* 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>