v0.4.4

API Change

1. context in new task pipeline is implemented by dataclass now, rather than dict
2. recommend visulization is wandb now, rather than tensorboard

Env

1. add modified gym-hybrid including moving, sliding and hardmove (#505) (#519)
2. add evogym support (#495) (#527)
3. add save_replay_gif option (#506)
4. adapt minigrid_env and related config to latest MiniGrid v2.0.0 (#500)

Algorithm

1. add pcgrad optimizer (#489)
2. add some features in MLP and ResBlock (#511)
3. delete mcts related modules (#518) (we will release a MCTS repo in future)

Enhancement

1. add wandb middleware and demo (#488) (#523) (#528)
2. add new properties in Context (#499)
3. add single env policy wrapper for policy deployment (demo)
4. add custom model demo and doc (文档)

Fix

1. fix build logger args and unittests (#522)
2. fix total_loss calculation in PDQN (#504)
3. fix save gif function bug
4. fix level sample unittest bug

Style

1. update contact email address (#503)
2. polish env log and resblock name
3. add details button in readme

New Repo

• DI-1024: Deep Reinforcement Learning + 1024 Game

Contributors: @PaParaZz1 @puyuan1996 @karroyan @hiha3456 @davide97l @Weiyuhong-1998 @zjowowen @norman26625