Tianshou/docs/spelling_wordlist.txt
Markus Krimmel 6c6c872523
Gymnasium Integration (#789)
Changes:
- Disclaimer in README
- Replaced all occurences of Gym with Gymnasium
- Removed code that is now dead since we no longer need to support the
old step API
- Updated type hints to only allow new step API
- Increased required version of envpool to support Gymnasium
- Increased required version of PettingZoo to support Gymnasium
- Updated `PettingZooEnv` to only use the new step API, removed hack to
also support old API
- I had to add some `# type: ignore` comments, due to new type hinting
in Gymnasium. I'm not that familiar with type hinting but I believe that
the issue is on the Gymnasium side and we are looking into it.
- Had to update `MyTestEnv` to support `options` kwarg
- Skip NNI tests because they still use OpenAI Gym
- Also allow `PettingZooEnv` in vector environment
- Updated doc page about ReplayBuffer to also talk about terminated and
truncated flags.

Still need to do: 
- Update the Jupyter notebooks in docs
- Check the entire code base for more dead code (from compatibility
stuff)
- Check the reset functions of all environments/wrappers in code base to
make sure they use the `options` kwarg
- Someone might want to check test_env_finite.py
- Is it okay to allow `PettingZooEnv` in vector environments? Might need
to update docs?
2023-02-03 11:57:27 -08:00

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tianshou
arXiv
tanh
lr
logits
env
envs
optim
eps
timelimit
TimeLimit
envpool
EnvPool
maxsize
timestep
timesteps
numpy
ndarray
stackoverflow
tensorboard
state_dict
len
tac
fqf
iqn
qrdqn
rl
offpolicy
onpolicy
quantile
quantiles
dqn
param
async
subprocess
deque
nn
equ
cql
fn
boolean
pre
np
cuda
rnn
rew
pre
perceptron
bsz
dataset
mujoco
jit
nstep
preprocess
preprocessing
repo
ReLU
namespace
recv
th
utils
NaN
linesearch
hyperparameters
pseudocode
entropies
nn
config
cpu
rms
debias
indice
regularizer
miniblock
modularize
serializable
softmax
vectorized
optimizers
undiscounted
submodule
subclasses
submodules
tfevent
dirichlet
docstring
webpage
formatter
num
py
pythonic
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King
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Legg
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