v0.4.7

.github/workflows/deploy.yml

@@ -3,8 +3,6 @@ name: deploy  # deploy docker
 on:
   push:
     branches: [main, '*deploy*', '*docker*']
-  pull_request:
-    branches: [main, '*docker*']
 jobs:
   docker_base:
     runs-on: ubuntu-latest

CHANGELOG

@@ -1,3 +1,35 @@
+2023.04.11(v0.4.7)
+- env: add dmc2gym env support and baseline (#451)
+- env: update pettingzoo to the latest version (#597)
+- env: polish icm/rnd+onppo config bugs and add app_door_to_key env (#564)
+- env: add lunarlander continuous TD3/SAC config
+- env: polish lunarlander discrete C51 config
+- algo: add Procedure Cloning (PC) imitation learning algorithm (#514)
+- algo: add Munchausen Reinforcement Learning (MDQN) algorithm (#590)
+- algo: add reward/value norm methods: popart & value rescale & symlog (#605)
+- algo: polish reward model config and training pipeline (#624)
+- algo: add PPOF reward space demo support (#608)
+- algo: add PPOF Atari demo support (#589)
+- algo: polish dqn default config and env examples (#611)
+- algo: polish comment and clean code about SAC
+- feature: add language model (e.g. GPT) training utils (#625)
+- feature: remove policy cfg sub fields requirements (#620)
+- feature: add full wandb support (#579)
+- fix: confusing shallow copy operation about next_obs (#641)
+- fix: unsqueeze action_args in PDQN when shape is 1 (#599)
+- fix: evaluator return_info tensor type bug (#592)
+- fix: deque buffer wrapper PER bug (#586)
+- fix: reward model save method compatibility bug
+- fix: logger assertion and unittest bug
+- fix: bfs test py3.9 compatibility bug
+- fix: zergling collector unittest bug
+- style: add DI-engine torch-rpc p2p communication docker (#628)
+- style: add D4RL docker (#591)
+- style: correct typo in task (#617)
+- style: correct typo in time_helper (#602)
+- style: polish readme and add treetensor example
+- style: update contributing doc
+
 2023.02.16(v0.4.6)
 - env: add metadrive env and related ppo config (#574)
 - env: add acrobot env and related dqn config (#577)

README.md

@@ -32,7 +32,7 @@
 [![Contributors](https://img.shields.io/github/contributors/opendilab/DI-engine)](https://github.com/opendilab/DI-engine/graphs/contributors)
 [![GitHub license](https://img.shields.io/github/license/opendilab/DI-engine)](https://github.com/opendilab/DI-engine/blob/master/LICENSE)
 
-Updated on 2023.02.17 DI-engine-v0.4.6
+Updated on 2023.04.11 DI-engine-v0.4.7
 
 
 ## Introduction to DI-engine
@@ -135,12 +135,16 @@ And our dockerhub repo can be found [here](https://hub.docker.com/repository/doc
 <summary>(Click for Details)</summary>
 
 - base: opendilab/ding:nightly
+- rpc: opendilab/ding:nightly-rpc
 - atari: opendilab/ding:nightly-atari
 - mujoco: opendilab/ding:nightly-mujoco
 - dmc: opendilab/ding:nightly-dmc2gym
 - metaworld: opendilab/ding:nightly-metaworld
 - smac: opendilab/ding:nightly-smac
 - grf: opendilab/ding:nightly-grf
+- cityflow: opendilab/ding:nightly-cityflow
+- evogym: opendilab/ding:nightly-evogym
+- d4rl: opendilab/ding:nightly-d4rl
 </details>
 
 The detailed documentation are hosted on [doc](https://di-engine-docs.readthedocs.io/en/latest/) | [中文文档](https://di-engine-docs.readthedocs.io/zh_CN/latest/).

conda/meta.yaml

@@ -1,7 +1,7 @@
 {% set data = load_setup_py_data() %}
 package:
   name: di-engine
-  version: v0.4.6
+  version: v0.4.7
 
 source:
   path: ..

ding/__init__.py

@@ -1,7 +1,7 @@
 import os
 
 __TITLE__ = 'DI-engine'
-__VERSION__ = 'v0.4.6'
+__VERSION__ = 'v0.4.7'
 __DESCRIPTION__ = 'Decision AI Engine'
 __AUTHOR__ = "OpenDILab Contributors"
 __AUTHOR_EMAIL__ = "[email protected]"