From cf8ad134909511a5a8ac7868fbb619532b1bff0b Mon Sep 17 00:00:00 2001
From: niuyazhe <niuyazhe@sensetime.com>
Date: Mon, 22 Nov 2021 15:49:02 +0800
Subject: [PATCH] v0.2.1

---
 CHANGELOG        | 36 ++++++++++++++++++++++++++++++++++++
 README.md        |  4 ++--
 ding/__init__.py |  2 +-
 3 files changed, 39 insertions(+), 3 deletions(-)

diff --git a/CHANGELOG b/CHANGELOG
index 89dc49f..c2e6240 100644
--- a/CHANGELOG
+++ b/CHANGELOG
@@ -1,3 +1,39 @@
+2021.11.22(v0.2.1)
+- env: gym-hybrid env (#86)
+- env: gym-soccer (HFO) env (#94)
+- env: Go-Bigger env baseline (#95)
+- env: add the bipedalwalker config of sac and ppo (#121)
+- algo: DQfD Imitation Learning algorithm (#48) (#98)
+- algo: TD3BC offline RL algorithm (#88)
+- algo: MBPO model-based RL algorithm (#113)
+- algo: PADDPG hybrid action space algorithm (#109)
+- algo: PDQN hybrid action space algorithm (#118)
+- algo: fix R2D2 bugs and produce benchmark, add naive NGU (#40)
+- algo: self-play training demo in slime_volley env (#23)
+- algo: add example of GAIL entry + config for mujoco (#114)
+- feature: enable arbitrary policy num in serial sample collector
+- feautre: add torch DataParallel for single machine multi-GPU
+- feature: add registry force_overwrite argument
+- feature: add naive buffer periodic thruput seconds argument
+- test: add pure docker setting test (#103)
+- test: add unittest for dataset and evaluator (#107)
+- test: add unittest for on-policy algorithm (#92)
+- test: add unittest for ppo and td (MARL case) (#89)
+- test: polish collector benchmark test
+- fix: target model wrapper hard reset bug
+- fix: fix learn state_dict target model bug
+- fix: ppo bugs and update atari ppo offpolicy config (#108)
+- fix: pyyaml version bug (#99)
+- fix: small fix on bsuite environment (#117)
+- fix: discrete cql unittest bug
+- fix: release workflow bug
+- fix: base policy model state_dict overlap bug
+- fix: remove on_policy option in dizoo config and entry
+- fix: remove torch in env
+- style: gym version > 0.20.0
+- style: torch version >= 1.1.0, <= 1.10.0
+- style: ale-py == 0.7.0
+
 2021.9.30(v0.2.0)
 - env: overcooked env (#20)
 - env: procgen env (#26)
diff --git a/README.md b/README.md
index af545de..1232aa8 100644
--- a/README.md
+++ b/README.md
@@ -31,7 +31,7 @@
 [![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 2021.09.30 DI-engine-v0.2.0 (beta)
+Updated on 2021.11.22 DI-engine-v0.2.1 (beta)
 
 
 ## Introduction to DI-engine (beta)
@@ -52,7 +52,7 @@ DI-engine is a generalized Decision Intelligence engine. It supports most basic
 ### Other
 - [DI-engine-docs](https://github.com/opendilab/DI-engine-docs)
 - [treevalue](https://github.com/opendilab/treevalue)
-- [DI-treetensor](https://github.com/opendilab/DI-treetensor) (preview)
+- [DI-treetensor](https://github.com/opendilab/DI-treetensor) 
 
 ## Installation
 
diff --git a/ding/__init__.py b/ding/__init__.py
index 065366d..5d8d43f 100644
--- a/ding/__init__.py
+++ b/ding/__init__.py
@@ -1,7 +1,7 @@
 import os
 
 __TITLE__ = 'DI-engine'
-__VERSION__ = 'v0.2.0'
+__VERSION__ = 'v0.2.1'
 __DESCRIPTION__ = 'Decision AI Engine'
 __AUTHOR__ = "OpenDILab Contributors"
 __AUTHOR_EMAIL__ = "opendilab.contact@gmail.com"
-- 
GitLab