style(nyz): polish readme and update wechat (ci skip)

Author: PaParaZz1

README.md

@@ -45,12 +45,13 @@ Updated on 2023.05.25 DI-engine-v0.4.8
 
 It provides **python-first** and **asynchronous-native** task and middleware abstractions, and modularly integrates several of the most important decision-making concepts: Env, Policy and Model. Based on the above mechanisms, DI-engine supports **various [deep reinforcement learning](https://di-engine-docs.readthedocs.io/en/latest/10_concepts/index.html) algorithms** with superior performance, high efficiency, well-organized [documentation](https://di-engine-docs.readthedocs.io/en/latest/) and [unittest](https://github.com/opendilab/DI-engine/actions):
 
-- Most basic DRL algorithms, such as DQN, PPO, SAC, R2D2, IMPALA
-- Multi-agent RL algorithms like QMIX, MAPPO, ACE
-- Imitation learning algorithms (BC/IRL/GAIL) , such as GAIL, SQIL, Guided Cost Learning, Implicit BC
-- Offline RL algorithms: CQL, TD3BC, Decision Transformer
-- Model-based RL algorithms: SVG, MVE, STEVE / MBPO, DDPPO
-- Exploration algorithms like HER, RND, ICM, NGU
+- Most basic DRL algorithms: such as DQN, Rainbow, PPO, TD3, SAC, R2D2, IMPALA
+- Multi-agent RL algorithms: such as QMIX, WQMIX, MAPPO, HAPPO, ACE
+- Imitation learning algorithms (BC/IRL/GAIL): such as GAIL, SQIL, Guided Cost Learning, Implicit BC
+- Offline RL algorithms: BCQ, CQL, TD3BC, Decision Transformer, EDAC
+- Model-based RL algorithms: SVG, STEVE, MBPO, DDPPO, DreamerV3, MuZero
+- Exploration algorithms: HER, RND, ICM, NGU
+- Other algorithims: such as PER, PLR, PCGrad
 
 **DI-engine** aims to **standardize different Decision Intelligence environments and applications**, supporting both academic research and prototype applications. Various training pipelines and customized decision AI applications are also supported:
 
@@ -64,14 +65,16 @@ It provides **python-first** and **asynchronous-native** task and middleware abs
 - Real world decision AI applications
   - [DI-star](https://github.com/opendilab/DI-star): Decision AI in StarCraftII
   - [DI-drive](https://github.com/opendilab/DI-drive): Auto-driving platform
-  - [GoBigger](https://github.com/opendilab/GoBigger): [ICLR 2023] Multi-Agent Decision Intelligence Environment
   - [DI-sheep](https://github.com/opendilab/DI-sheep): Decision AI in 3 Tiles Game
   - [DI-smartcross](https://github.com/opendilab/DI-smartcross): Decision AI in Traffic Light Control
   - [DI-bioseq](https://github.com/opendilab/DI-bioseq): Decision AI in Biological Sequence Prediction and Searching
   - [DI-1024](https://github.com/opendilab/DI-1024): Deep Reinforcement Learning + 1024 Game
 - Research paper
   - [InterFuser](https://github.com/opendilab/InterFuser): [CoRL 2022] Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer
   - [ACE](https://github.com/opendilab/ACE): [AAAI 2023] ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency
+  - [GoBigger](https://github.com/opendilab/GoBigger): [ICLR 2023] Multi-Agent Decision Intelligence Environment
+  - [DOS](https://github.com/opendilab/DOS): [CVPR 2023] ReasonNet: End-to-End Driving with Temporal and Global Reasoning
+  - [LightZero](https://github.com/opendilab/LightZero): LightZero: A lightweight and efficient MCTS/AlphaZero/MuZero algorithm toolkit
 - Docs and Tutorials
   - [DI-engine-docs](https://github.com/opendilab/DI-engine-docs): Tutorials, best practice and the API reference.
   - [awesome-model-based-RL](https://github.com/opendilab/awesome-model-based-RL): A curated list of awesome Model-Based RL resources
@@ -245,7 +248,7 @@ P.S: The `.py` file in `Runnable Demo` can be found in `dizoo`
 |  40  |           [ICM](https://arxiv.org/pdf/1705.05363.pdf)            |   ![exp](https://img.shields.io/badge/-exploration-orange)   | [ICM doc](https://di-engine-docs.readthedocs.io/en/latest/12_policies/icm.html)<br>[ICM中文文档](https://di-engine-docs.readthedocs.io/zh_CN/latest/12_policies/icm_zh.html)<br>[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              |
 |  41  |         [CQL](https://arxiv.org/pdf/2006.04779.pdf)          | ![offline](https://img.shields.io/badge/-offlineRL-darkblue) | [CQL doc](https://di-engine-docs.readthedocs.io/en/latest/12_policies/cql.html)<br>[policy/cql](https://github.com/opendilab/DI-engine/blob/main/ding/policy/cql.py) |                 python3 -u d4rl_cql_main.py                  |
 |  42  |         [TD3BC](https://arxiv.org/pdf/2106.06860.pdf)          | ![offline](https://img.shields.io/badge/-offlineRL-darkblue) | [TD3BC doc](https://di-engine-docs.readthedocs.io/en/latest/12_policies/td3_bc.html)<br>[policy/td3_bc](https://github.com/opendilab/DI-engine/blob/main/ding/policy/td3_bc.py) |                 python3 -u d4rl_td3_bc_main.py                  |
-|  43  |         [Decision Transformer](https://arxiv.org/pdf/2106.01345.pdf)          | ![offline](https://img.shields.io/badge/-offlineRL-darkblue) | [policy/dt](https://github.com/opendilab/DI-engine/blob/main/ding/policy/decision_transformer.py) |                 python3 -u d4rl_dt_main.py                  |
+|  43  |         [Decision Transformer](https://arxiv.org/pdf/2106.01345.pdf)          | ![offline](https://img.shields.io/badge/-offlineRL-darkblue) | [policy/dt](https://github.com/opendilab/DI-engine/blob/main/ding/policy/dt.py) |                 python3 -u ding/example/dt.py                  |
 |  44  |         [EDAC](https://arxiv.org/pdf/2110.01548.pdf)          | ![offline](https://img.shields.io/badge/-offlineRL-darkblue) | [EDAC doc](https://di-engine-docs.readthedocs.io/en/latest/12_policies/edac.html)<br>[policy/edac](https://github.com/opendilab/DI-engine/blob/main/ding/policy/edac.py) |                 python3 -u d4rl_edac_main.py                  |
 |  45  |         MBSAC([SAC](https://arxiv.org/abs/1801.01290)+[MVE](https://arxiv.org/abs/1803.00101)+[SVG](https://arxiv.org/abs/1510.09142))         | ![continuous](https://img.shields.io/badge/-continous-green)![mbrl](https://img.shields.io/badge/-ModelBasedRL-lightblue) | [policy/mbpolicy/mbsac](https://github.com/opendilab/DI-engine/blob/main/ding/policy/mbpolicy/mbsac.py) |        python3 -u pendulum_mbsac_mbpo_config.py \ python3 -u pendulum_mbsac_ddppo_config.py    |
 |  46  |         STEVESAC([SAC](https://arxiv.org/abs/1801.01290)+[STEVE](https://arxiv.org/abs/1807.01675)+[SVG](https://arxiv.org/abs/1510.09142))         | ![continuous](https://img.shields.io/badge/-continous-green)![mbrl](https://img.shields.io/badge/-ModelBasedRL-lightblue) | [policy/mbpolicy/mbsac](https://github.com/opendilab/DI-engine/blob/main/ding/policy/mbpolicy/mbsac.py) |        python3 -u pendulum_stevesac_mbpo_config.py    |
@@ -433,9 +436,9 @@ DI-engine utilizes [TreeTensor](https://github.com/opendilab/DI-treetensor) as t
 - [File an issue](https://github.com/opendilab/DI-engine/issues/new/choose) on Github
 - Open or participate in our [forum](https://github.com/opendilab/DI-engine/discussions)
 - Discuss on DI-engine [slack communication channel](https://join.slack.com/t/opendilab/shared_invite/zt-v9tmv4fp-nUBAQEH1_Kuyu_q4plBssQ)
-- Discuss on DI-engine's QQ group (700157520) or add us on WeChat 
+- Discuss on DI-engine's WeChat group (i.e. add us on WeChat: ding314assist) 
 
-  ![WeChat](https://github.com/opendilab/DI-engine/blob/main/assets/wechat.png)
+  ![WeChat](https://github.com/opendilab/DI-engine/blob/main/assets/wechat.jpeg)
 - Contact our email (opendilab@pjlab.org.cn)
 - Contributes to our future plan [Roadmap](https://github.com/opendilab/DI-engine/issues/548)