v0.4.3

Env

1. add rule-based gomoku expert (#465)

Algorithm

1. fix a2c policy batch size bug (#481)
2. enable activation option in collaq attention and mixer
3. minor fix about IBC (#477)

Enhancement

1. add IGM support (#486)
2. add tb logger middleware and demo

Fix

1. the type conversion in ding_env_wrapper (#483)
2. di-orchestrator version bug in unittest (#479)
3. data collection errors caused by shallow copies (#475)
4. gym==0.26.0 seed args bug

Style

1. add readme tutorial link(environment & algorithm) (#490) (#493)
2. adjust location of the default_model method in policy (#453)

New Repo

• DI-sheep: Deep Reinforcement Learning + 3 Tiles Game

Contributors: @PaParaZz1 @nighood @norman26625 @ZHZisZZ @cpwan @mahuangxu