update docs

CHANGES.md

@@ -2,23 +2,24 @@
 ## Breaking API changes.
 
 tensorpack is still in early development, and API changes can happen.
-Usually the backward compatibilty is preserved for several month, with a deprecation warning.
-If you are an early bird to try out this library, you might need to occasionally update your code.
+Usually the backward compatibilty is __preserved for several months__, with a deprecation warning,
+so you won't need to look at here very often.
 
 Here are a list of things that were changed, starting from an early version.
 TensorFlow itself also changes API and those are not listed here.
 
-
 * 2017/01/06. `summary.add_moving_summary` now takes any number of positional arguments instead of a list.
 	See [commit](https://github.com/ppwwyyxx/tensorpack/commit/bbf41d9e58053f843d0471e6d2d87ff714a79a90) to change your code.
 * 2017/01/05. The argument `TrainConfig(dataset=)` is renamed to `TrainConfig(dataflow=)`.
 	See [commit](https://github.com/ppwwyyxx/tensorpack/commit/651a5aea8f9aacad7147542021dcf106fc824bc2) to change your code.
+* 2016/12/15. The `predict_tower` option is in `TrainConfig` now instead of `Trainer`. See
+	[commit](https://github.com/ppwwyyxx/tensorpack/commit/99c70935a7f72050f45891fbbcc49c4ce43aedce).
 * 2016/11/06. The inferencer `ClassificationError` now expects the vector tensor returned by
 	`prediction_incorrect` instead of the "wrong" tensor. See [commit](https://github.com/ppwwyyxx/tensorpack/commit/740e9d8ca146af5a911f68a369dd7348243a2253)
 	to make changes.
 * 2016/10/17. `Conv2D` and `FullyConnect` use `tf.identity` by default instead of `tf.nn.relu`.
 	See [commit](https://github.com/ppwwyyxx/tensorpack/commit/6eb0bebe60d6f38bcad9ddb3e6091b0b154a09cf).
-* 2016/09/01. The method `_build_graph` of `ModelDesc` doesn't takes `is_training` argument anymore.
+* 2016/09/01. The method `_build_graph` of `ModelDesc` doesn't take `is_training` argument anymore.
 	The `is_training` attribute can be obtained from tower context. See [commit](https://github.com/ppwwyyxx/tensorpack/commit/fc9e45b0208ff09daf454d3bd910c540735b7f83).
 * 2016/05/15. The method `_get_cost` of `ModelDesc` is replaced by `_build_graph`. See [commit](https://github.com/ppwwyyxx/tensorpack/commit/e69034b5c9b588db9fb52295b1e63c89e8b42654).
 

examples/A3C-Gym/README.md

-### Code and models for my Gym submissions on Atari games
+### Code and models for Atari games in gym
 
 Implemented A3C in [Asynchronous Methods for Deep Reinforcement Learning](http://arxiv.org/abs/1602.01783).
 
+Results of the same code trained on 47 different Atari games were uploaded on OpenAI Gym.
+You can see them in [my gym page](https://gym.openai.com/users/ppwwyyxx).
+Most of them are the best reproducible results on gym.
+
 ### To train on an Atari game:
 
 `./train-atari.py --env Breakout-v0 --gpu 0`
@@ -19,7 +23,7 @@ multiprocess Python program to get a cgroup dedicated for the task.
 1. Download models from [model zoo](https://goo.gl/9yIol2)
 2. `ENV=Breakout-v0; ./run-atari.py --load "$ENV".tfmodel --env "$ENV" --episode 100 --output output_dir`
 
-Models are available for the following gym atari environments (click links for videos on gym):
+Models are available for the following atari environments (click to watch videos of my agent):
 
 + [AirRaid](https://gym.openai.com/evaluations/eval_zIeNk5MxSGOmvGEUxrZDUw) (this one is flickering, don't know why)
 + [Alien](https://gym.openai.com/evaluations/eval_8NR1IvjTQkSIT6En4xSMA)