style(nyz): update kaggle link and algo table

README.md

@@ -85,7 +85,7 @@ The detailed documentation are hosted on [doc](https://opendilab.github.io/DI-en
 
 [3 Minutes Kickoff(colab)](https://colab.research.google.com/drive/1J29voOD2v9_FXjW-EyTVfRxY_Op_ygef#scrollTo=MIaKQqaZCpGz)
 
-[3 分钟上手中文版(kaggle)](https://www.kaggle.com/shenzhenperson/di-engine)
+[3 分钟上手中文版(kaggle)](https://www.kaggle.com/fallinx/di-engine/)
 
 **Bonus: Train RL agent in one line code:**
 ```bash
@@ -116,7 +116,7 @@ ding -m serial -e cartpole -p dqn -s 0
 |  6   |         [SQL](https://arxiv.org/pdf/1702.08165.pdf)          | ![discrete](https://img.shields.io/badge/-discrete-brightgreen)![continuous](https://img.shields.io/badge/-continous-green) | [policy/sql](https://github.com/opendilab/DI-engine/blob/main/ding/policy/sql.py) |        ding -m serial -c cartpole_sql_config.py -s 0         |
 |  7   |         [R2D2](https://openreview.net/forum?id=r1lyTjAqYX)      | ![dist](https://img.shields.io/badge/-distributed-blue)![discrete](https://img.shields.io/badge/-discrete-brightgreen) | [policy/r2d2](https://github.com/opendilab/DI-engine/blob/main/ding/policy/r2d2.py) |        ding -m serial -c cartpole_r2d2_config.py -s 0        |
 |  8   |         [A2C](https://arxiv.org/pdf/1602.01783.pdf)            | ![discrete](https://img.shields.io/badge/-discrete-brightgreen) | [policy/a2c](https://github.com/opendilab/DI-engine/blob/main/ding/policy/a2c.py) |        ding -m serial -c cartpole_a2c_config.py -s 0         |
-|  9   |         [PPO](https://arxiv.org/abs/1707.06347)/[MAPPO](https://arxiv.org/pdf/2103.01955.pdf)         | ![discrete](https://img.shields.io/badge/-discrete-brightgreen)![continuous](https://img.shields.io/badge/-continous-green) | [policy/ppo](https://github.com/opendilab/DI-engine/blob/main/ding/policy/ppo.py) | python3 -u cartpole_ppo_main.py / ding -m serial_onpolicy -c cartpole_ppo_config.py -s 0 |
+|  9   |         [PPO](https://arxiv.org/abs/1707.06347)/[MAPPO](https://arxiv.org/pdf/2103.01955.pdf)         | ![discrete](https://img.shields.io/badge/-discrete-brightgreen)![continuous](https://img.shields.io/badge/-continous-green)![MARL](https://img.shields.io/badge/-MARL-yellow) | [policy/ppo](https://github.com/opendilab/DI-engine/blob/main/ding/policy/ppo.py) | python3 -u cartpole_ppo_main.py / ding -m serial_onpolicy -c cartpole_ppo_config.py -s 0 |
 |  10  |         [PPG](https://arxiv.org/pdf/2009.04416.pdf)          | ![discrete](https://img.shields.io/badge/-discrete-brightgreen) | [policy/ppg](https://github.com/opendilab/DI-engine/blob/main/ding/policy/ppg.py) |               python3 -u cartpole_ppg_main.py                |
 |  11  |         [ACER](https://arxiv.org/pdf/1611.01224.pdf)         | ![discrete](https://img.shields.io/badge/-discrete-brightgreen)![continuous](https://img.shields.io/badge/-continous-green) | [policy/acer](https://github.com/opendilab/DI-engine/blob/main/ding/policy/acer.py) |        ding -m serial -c cartpole_acer_config.py -s 0        |
 |  12  |          [IMPALA](https://arxiv.org/abs/1802.01561)          | ![dist](https://img.shields.io/badge/-distributed-blue)![discrete](https://img.shields.io/badge/-discrete-brightgreen) | [policy/impala](https://github.com/opendilab/DI-engine/blob/main/ding/policy/impala.py) |       ding -m serial -c cartpole_impala_config.py -s 0       |
@@ -135,7 +135,7 @@ ding -m serial -e cartpole -p dqn -s 0
 |  25  |         [SQIL](https://arxiv.org/pdf/1905.11108.pdf)         |        ![IL](https://img.shields.io/badge/-IL-purple)        | [entry/sqil](https://github.com/opendilab/DI-engine/blob/main/ding/entry/serial_entry_sqil.py) |     ding -m serial_sqil -c cartpole_sqil_config.py -s 0      |
 |  26  | [DQFD](https://arxiv.org/pdf/1704.03732.pdf) | ![IL](https://img.shields.io/badge/-IL-purple) | [policy/dqfd](https://github.com/opendilab/DI-engine/blob/main/ding/policy/dqfd.py) | ding -m serial_dqfd -c cartpole_dqfd_config.py -s 0 |
 |  27  | [R2D3](https://arxiv.org/pdf/1909.01387.pdf) | ![IL](https://img.shields.io/badge/-IL-purple) | [policy/r2d3](https://github.com/opendilab/DI-engine/blob/main/ding/policy/r2d3.py) | python3 -u pong_r2d3_r2d2expert_config.py |
-|  28  |         [GCL](https://arxiv.org/pdf/1603.00448.pdf)          |   ![IL](https://img.shields.io/badge/-IL-purple)             | [reward_model/guided_cost](https://github.com/opendilab/DI-engine/blob/main/ding/reward_model/guided_cost_reward_model.py) |                          python3 lunarlander_gcl_config.py   
+|  28  |     [Guided Cost Learning](https://arxiv.org/pdf/1603.00448.pdf)     |   ![IL](https://img.shields.io/badge/-IL-purple)             | [reward_model/guided_cost](https://github.com/opendilab/DI-engine/blob/main/ding/reward_model/guided_cost_reward_model.py) |                          python3 lunarlander_gcl_config.py   |
 |  29  |           [HER](https://arxiv.org/pdf/1707.01495.pdf)            |   ![exp](https://img.shields.io/badge/-exploration-orange)   | [reward_model/her](https://github.com/opendilab/DI-engine/blob/main/ding/reward_model/her_reward_model.py) |                python3 -u bitflip_her_dqn.py                 |
 |  30  |           [RND](https://arxiv.org/abs/1810.12894)            |   ![exp](https://img.shields.io/badge/-exploration-orange)   | [reward_model/rnd](https://github.com/opendilab/DI-engine/blob/main/ding/reward_model/rnd_reward_model.py) |             python3 -u cartpole_ppo_rnd_main.py              |
 |  31  |           [ICM](https://arxiv.org/pdf/1705.05363.pdf)            |   ![exp](https://img.shields.io/badge/-exploration-orange)   | [reward_model/icm](https://github.com/opendilab/DI-engine/blob/main/ding/reward_model/icm_reward_model.py) |             python3 -u cartpole_ppo_icm_config.py              |
@@ -145,11 +145,11 @@ ding -m serial -e cartpole -p dqn -s 0
 |  35  |         [PER](https://arxiv.org/pdf/1511.05952.pdf)          |   ![other](https://img.shields.io/badge/-other-lightgrey)    | [worker/replay_buffer](https://github.com/opendilab/DI-engine/blob/main/ding/worker/replay_buffer/advanced_buffer.py) |                        `rainbow demo`                        |
 |  36  |         [GAE](https://arxiv.org/pdf/1506.02438.pdf)          |   ![other](https://img.shields.io/badge/-other-lightgrey)    | [rl_utils/gae](https://github.com/opendilab/DI-engine/blob/main/ding/rl_utils/gae.py) |                          `ppo demo`                          |
 
-![discrete](https://img.shields.io/badge/-discrete-brightgreen) means discrete action space, which is only label in normal DRL algorithms (1-16)
+![discrete](https://img.shields.io/badge/-discrete-brightgreen) means discrete action space, which is only label in normal DRL algorithms (1-18)
 
-![continuous](https://img.shields.io/badge/-continous-green) means continuous action space, which is only label in normal DRL algorithms (1-16)
+![continuous](https://img.shields.io/badge/-continous-green) means continuous action space, which is only label in normal DRL algorithms (1-18)
 
-![hybrid](https://img.shields.io/badge/-hybrid-darkgreen)means hybrid (discrete + continuous) action space (1-16)
+![hybrid](https://img.shields.io/badge/-hybrid-darkgreen) means hybrid (discrete + continuous) action space (1-18)
 
 ![dist](https://img.shields.io/badge/-distributed-blue) means distributed training (collector-learner parallel) RL algorithm