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An iA Writer inspired color scheme. It has support for vim, vim airline, vim lightline, tmux and urxvt/xterm.

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Hi @galleibo-intel and team, I am trying to create a Gated PixelCNN embedder for images and train it jointly with the RL model. While creating the 'layer' is kinda straightforward,...

Tested with the following presets on single-node and multi-node Coach: CartPole_ClippedPPO Mujoco_ClippedPPO with inverted_pendulum level

Summary: I tried to add "--print_networks_summary" for mxnet framework, and got a crash immediately after running the command. command line: python3 rl_coach/coach.py -p CartPole_DQN -e test -f mxnet --print_networks_summary ![image](https://user-images.githubusercontent.com/46447582/53493280-aee78700-3aa3-11e9-907d-f44212c0f399.png)

bug
priority/p3

In the training procedure sometimes machines get rebooted, etc. When resume happens from checkpoint automated the next checkpoint is no longer going to continue the numbering from where it is...

Hi, I've an issue with the NEC agent checkpoints. When I ativate the checkpoint option for exemple: > coach -p CartPole_NEC -r -s 120 After the specified time, when the...

bug
help wanted
priority/p2

**Acceptance Criteria:** A dockerfile that contains Coach and all of its dependencies with Python 3.6 support. _Proposed change documented in this thread:_ https://github.com/NervanaSystems/coach/commit/29fe4237faf1746ed77c6276069105b94bad18ff#commitcomment-32562612

enhancement

Gym API supports MultiDiscrete action spaces: https://github.com/openai/gym/blob/master/gym/spaces/multi_discrete.py This is useful when you want to discretize a continuous control problem, a technique common in literature: https://arxiv.org/abs/1808.00177 But MultiDiscrete action spaces are...

priority/p3

i'm using a bi-proc Xeon 32core with GTX 1080Ti and the training of RL agent on Carla using "CARLA_3_Cameras_DDPG" is really slow, and the cumulative reward is always negative [-174,...

priority/p2

Newbie on coach, I would need some advise on how to approach the implementation of ``Learning by Playing – Solving Sparse Reward Tasks from Scratch`` https://arxiv.org/abs/1802.10567 using multiple heads as...

question

Create an implementation of IMPALA as described in: https://arxiv.org/abs/1802.01561

enhancement
priority/p1