18 Commits

Author SHA1 Message Date
youkaichao
a9f9940d17
code refactor for venv (#179)
- Refacor code to remove duplicate code

- Enable async simulation for all vector envs

- Remove `collector.close` and rename `VectorEnv` to `DummyVectorEnv`

The abstraction of vector env changed.

Prior to this pr, each vector env is almost independent.

After this pr, each env is wrapped into a worker, and vector envs differ with their worker type. In fact, users can just use `BaseVectorEnv` with different workers, I keep `SubprocVectorEnv`, `ShmemVectorEnv` for backward compatibility.

Co-authored-by: n+e <463003665@qq.com>
Co-authored-by: magicly <magicly007@gmail.com>
2020-08-19 15:00:24 +08:00
youkaichao
7f3b817b24
add policy.update to enable post process and remove collector.sample (#180)
* add policy.update to enable post process and remove collector.sample

* update doc in policy concept

* remove collector.sample in doc

* doc update of concepts

* docs

* polish

* polish policy

* remove collector.sample in docs

* minor fix

* Apply suggestions from code review

just a test

* doc fix

Co-authored-by: Trinkle23897 <463003665@qq.com>
2020-08-15 16:10:42 +08:00
ChenDRAG
f2bcc55a25
ShmemVectorEnv Implementation (#174)
* add shmem vecenv, some add&fix in test_env

* generalize test_env IO

* pep8 fix

* comment update

* style change

* pep8 fix

* style fix

* minor fix

* fix a bug

* test fix

* change env

* testenv bug fix& shmem support recurse dict

* bugfix

* pep8 fix

* _NP_TO_CT enhance

* doc update

* docstring update

* pep8 fix

* style change

* style fix

* remove assert

* minor

Co-authored-by: Trinkle23897 <463003665@qq.com>
2020-08-04 13:39:05 +08:00
n+e
38a95c19da
Yet another 3 fix (#160)
1. DQN learn should keep eps=0

2. Add a warning of env.seed in VecEnv

3. fix #162 of multi-dim action
2020-07-24 17:38:12 +08:00
youkaichao
bfeffe1f97
unify single-env and multi-env in collector (#157)
Unify the implementation with multi-environments (wrap a single environment in a multi-environment with one envs) to greatly simplify the code.

This changed the behavior of single-environment.
Prior to this pr, for single environment, collector.collect(n_step=n) will step n steps.
After this pr, for single environment, collector.collect(n_step=n) will step m episodes until the steps are greater than n.

That is to say, collectors now always collect full episodes.
2020-07-23 16:40:53 +08:00
n+e
bd9c3c7f8d
docs fix and v0.2.5 (#156)
* pre

* update docs

* update docs

* $ in bash

* size -> hidden_layer_size

* doctest

* doctest again

* filter a warning

* fix bug

* fix examples

* test fail

* test succ
2020-07-22 14:42:08 +08:00
youkaichao
8c32d99c65
Add multi-agent example: tic-tac-toe (#122)
* make fileds with empty Batch rather than None after reset

* dummy code

* remove dummy

* add reward_length argument for collector

* Improve Batch (#126)

* make sure the key type of Batch is string, and add unit tests

* add is_empty() function and unit tests

* enable cat of mixing dict and Batch, just like stack

* bugfix for reward_length

* add get_final_reward_fn argument to collector to deal with marl

* minor polish

* remove multibuf

* minor polish

* improve and implement Batch.cat_

* bugfix for buffer.sample with field impt_weight

* restore the usage of a.cat_(b)

* fix 2 bugs in batch and add corresponding unittest

* code fix for update

* update is_empty to recognize empty over empty; bugfix for len

* bugfix for update and add testcase

* add testcase of update

* make fileds with empty Batch rather than None after reset

* dummy code

* remove dummy

* add reward_length argument for collector

* bugfix for reward_length

* add get_final_reward_fn argument to collector to deal with marl

* make sure the key type of Batch is string, and add unit tests

* add is_empty() function and unit tests

* enable cat of mixing dict and Batch, just like stack

* dummy code

* remove dummy

* add multi-agent example: tic-tac-toe

* move TicTacToeEnv to a separate file

* remove dummy MANet

* code refactor

* move tic-tac-toe example to test

* update doc with marl-example

* fix docs

* reduce the threshold

* revert

* update player id to start from 1 and change player to agent; keep coding

* add reward_length argument for collector

* Improve Batch (#128)

* minor polish

* improve and implement Batch.cat_

* bugfix for buffer.sample with field impt_weight

* restore the usage of a.cat_(b)

* fix 2 bugs in batch and add corresponding unittest

* code fix for update

* update is_empty to recognize empty over empty; bugfix for len

* bugfix for update and add testcase

* add testcase of update

* fix docs

* fix docs

* fix docs [ci skip]

* fix docs [ci skip]

Co-authored-by: Trinkle23897 <463003665@qq.com>

* refact

* re-implement Batch.stack and add testcases

* add doc for Batch.stack

* reward_metric

* modify flag

* minor fix

* reuse _create_values and refactor stack_ & cat_

* fix pep8

* fix reward stat in collector

* fix stat of collector, simplify test/base/env.py

* fix docs

* minor fix

* raise exception for stacking with partial keys and axis!=0

* minor fix

* minor fix

* minor fix

* marl-examples

* add condense; bugfix for torch.Tensor; code refactor

* marl example can run now

* enable tic tac toe with larger board size and win-size

* add test dependency

* Fix padding of inconsistent keys with Batch.stack and Batch.cat (#130)

* re-implement Batch.stack and add testcases

* add doc for Batch.stack

* reuse _create_values and refactor stack_ & cat_

* fix pep8

* fix docs

* raise exception for stacking with partial keys and axis!=0

* minor fix

* minor fix

Co-authored-by: Trinkle23897 <463003665@qq.com>

* stash

* let agent learn to play as agent 2 which is harder

* code refactor

* Improve collector (#125)

* remove multibuf

* reward_metric

* make fileds with empty Batch rather than None after reset

* many fixes and refactor
Co-authored-by: Trinkle23897 <463003665@qq.com>

* marl for tic-tac-toe and general gomoku

* update default gamma to 0.1 for tic tac toe to win earlier

* fix name typo; change default game config; add rew_norm option

* fix pep8

* test commit

* mv test dir name

* add rew flag

* fix torch.optim import error and madqn rew_norm

* remove useless kwargs

* Vector env enable select worker (#132)

* Enable selecting worker for vector env step method.

* Update collector to match new vecenv selective worker behavior.

* Bug fix.

* Fix rebase

Co-authored-by: Alexis Duburcq <alexis.duburcq@wandercraft.eu>

* show the last move of tictactoe by capital letters

* add multi-agent tutorial

* fix link

* Standardized behavior of Batch.cat and misc code refactor (#137)

* code refactor; remove unused kwargs; add reward_normalization for dqn

* bugfix for __setitem__ with torch.Tensor; add Batch.condense

* minor fix

* support cat with empty Batch

* remove the dependency of is_empty on len; specify the semantic of empty Batch by test cases

* support stack with empty Batch

* remove condense

* refactor code to reflect the shared / partial / reserved categories of keys

* add is_empty(recursive=False)

* doc fix

* docfix and bugfix for _is_batch_set

* add doc for key reservation

* bugfix for algebra operators

* fix cat with lens hint

* code refactor

* bugfix for storing None

* use ValueError instead of exception

* hide lens away from users

* add comment for __cat

* move the computation of the initial value of lens in cat_ itself.

* change the place of doc string

* doc fix for Batch doc string

* change recursive to recurse

* doc string fix

* minor fix for batch doc

* write tutorials to specify the standard of Batch (#142)

* add doc for len exceptions

* doc move; unify is_scalar_value function

* remove some issubclass check

* bugfix for shape of Batch(a=1)

* keep moving doc

* keep writing batch tutorial

* draft version of Batch tutorial done

* improving doc

* keep improving doc

* batch tutorial done

* rename _is_number

* rename _is_scalar

* shape property do not raise exception

* restore some doc string

* grammarly [ci skip]

* grammarly + fix warning of building docs

* polish docs

* trim and re-arrange batch tutorial

* go straight to the point

* minor fix for batch doc

* add shape / len in basic usage

* keep improving tutorial

* unify _to_array_with_correct_type to remove duplicate code

* delegate type convertion to Batch.__init__

* further delegate type convertion to Batch.__init__

* bugfix for setattr

* add a _parse_value function

* remove dummy function call

* polish docs

Co-authored-by: Trinkle23897 <463003665@qq.com>

* bugfix for mapolicy

* pretty code

* remove debug code; remove condense

* doc fix

* check before get_agents in tutorials/tictactoe

* tutorial

* fix

* minor fix for batch doc

* minor polish

* faster test_ttt

* improve tic-tac-toe environment

* change default epoch and step-per-epoch for tic-tac-toe

* fix mapolicy

* minor polish for mapolicy

* 90% to 80% (need to change the tutorial)

* win rate

* show step number at board

* simplify mapolicy

* minor polish for mapolicy

* remove MADQN

* fix pep8

* change legal_actions to mask (need to update docs)

* simplify maenv

* fix typo

* move basevecenv to single file

* separate RandomAgent

* update docs

* grammarly

* fix pep8

* win rate typo

* format in cheatsheet

* use bool mask directly

* update doc for boolean mask

Co-authored-by: Trinkle23897 <463003665@qq.com>
Co-authored-by: Alexis DUBURCQ <alexis.duburcq@gmail.com>
Co-authored-by: Alexis Duburcq <alexis.duburcq@wandercraft.eu>
2020-07-21 14:59:49 +08:00
youkaichao
e767de044b
Remove dummy net code (#123)
* remove dummy net; delete two files

* split code to have backbone and head

* rename class

* change torch.float to torch.float32

* use flatten(1) instead of view(batch, -1)

* remove dummy net in docs

* bugfix for rnn

* fix cuda error

* minor fix of docs

* do not change the example code in dqn tutorial, since it is for demonstration

Co-authored-by: Trinkle23897 <463003665@qq.com>
2020-07-09 22:57:01 +08:00
Trinkle23897
560116d0b2 cheat sheet 2020-06-08 21:53:00 +08:00
Trinkle23897
f818a2467b zh_CN docs 2020-06-02 08:51:14 +08:00
Trinkle23897
ba1b3e54eb fix #69 2020-06-01 08:30:09 +08:00
Trinkle23897
ecfcb9f295 fix docs 2020-04-10 11:16:33 +08:00
Trinkle23897
610390c132 add docs of collector and trainer (#20) 2020-04-05 18:34:45 +08:00
Trinkle23897
b6c9db6b0b docs for env 2020-04-04 21:02:06 +08:00
Trinkle23897
0e86d44860 finish concepts 2020-04-02 12:31:22 +08:00
Trinkle23897
0acd0d164c test api doc 2020-04-02 09:07:04 +08:00
Trinkle23897
04208e6cce update some tutorial 2020-03-30 22:52:25 +08:00
Trinkle23897
4e7df7616a update dqn tutorial 2020-03-29 15:18:33 +08:00