wassname/ray
1
0
Fork 0
mirror of https://github.com/wassname/ray.git synced 2026-06-30 08:27:21 +08:00
Code Issues Packages Projects Releases Wiki Activity

Move meta-learning algorithms into their own section in the TOC (#10727)

Browse Source
This commit is contained in:
Eric Liang
2020-09-11 12:26:16 -07:00
committed by GitHub
parent b8436f0f00
commit 3eed3eca09
1 changed files with 11 additions and 9 deletions
Download Patch File Download Diff File Expand all files Collapse all files
doc/source/rllib-toc.rst
+11 -9
View File
@@ -96,22 +96,14 @@ Algorithms
- |pytorch| :ref:`Decentralized Distributed Proximal Policy Optimization (DD-PPO) <ddppo>`
- |pytorch| :ref:`Single-Player AlphaZero (contrib/AlphaZero) <alphazero>`
* Gradient-based
- |pytorch| |tensorflow| :ref:`Advantage Actor-Critic (A2C, A3C) <a3c>`
- |pytorch| |tensorflow| :ref:`Deep Deterministic Policy Gradients (DDPG, TD3) <ddpg>`
- |pytorch| :ref:`Dreamer <dreamer>`
- |pytorch| |tensorflow| :ref:`Deep Q Networks (DQN, Rainbow, Parametric DQN) <dqn>`
- |pytorch| |tensorflow| :ref:`Model-Agnostic Meta-Learning (MAML) <maml>`
- |pytorch| :ref:`Model-Based Meta-Policy-Optimization (MBMPO) <mbmpo>`
- |pytorch| |tensorflow| :ref:`Policy Gradients <pg>`
- |pytorch| |tensorflow| :ref:`Proximal Policy Optimization (PPO) <ppo>`
@@ -124,7 +116,17 @@ Algorithms
- |pytorch| |tensorflow| :ref:`Evolution Strategies <es>`
* Multi-agent specific
* Model-based / Meta-learning
- |pytorch| :ref:`Single-Player AlphaZero (contrib/AlphaZero) <alphazero>`
- |pytorch| |tensorflow| :ref:`Model-Agnostic Meta-Learning (MAML) <maml>`
- |pytorch| :ref:`Model-Based Meta-Policy-Optimization (MBMPO) <mbmpo>`
- |pytorch| :ref:`Dreamer (DREAMER) <dreamer>`
* Multi-agent
- |pytorch| :ref:`QMIX Monotonic Value Factorisation (QMIX, VDN, IQN) <qmix>`
- |tensorflow| :ref:`Multi-Agent Deep Deterministic Policy Gradient (contrib/MADDPG) <maddpg>`