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Fix algorithms list to be consistent with "<full name> (<acronym>)"
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Miguel Morales
2017-11-11 07:47:47 -07:00
committed by Itai Caspi
parent 8d9ee4ea2b
commit acd2b78a9e
1 changed files with 3 additions and 3 deletions
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@@ -190,7 +190,7 @@ python3 coach.py -p Hopper_A3C -n 16
* [Deep Q Network (DQN](https://www.cs.toronto.edu/~vmnih/docs/dqn.pdf) * [Deep Q Network (DQN)](https://www.cs.toronto.edu/~vmnih/docs/dqn.pdf)
* [Double Deep Q Network (DDQN)](https://arxiv.org/pdf/1509.06461.pdf) * [Double Deep Q Network (DDQN)](https://arxiv.org/pdf/1509.06461.pdf)
* [Dueling Q Network](https://arxiv.org/abs/1511.06581) * [Dueling Q Network](https://arxiv.org/abs/1511.06581)
* [Mixed Monte Carlo (MMC)](https://arxiv.org/abs/1703.01310) * [Mixed Monte Carlo (MMC)](https://arxiv.org/abs/1703.01310)
@@ -199,10 +199,10 @@ python3 coach.py -p Hopper_A3C -n 16
* [Quantile Regression Deep Q Network (QR-DQN)](https://arxiv.org/pdf/1710.10044v1.pdf) * [Quantile Regression Deep Q Network (QR-DQN)](https://arxiv.org/pdf/1710.10044v1.pdf)
* [Bootstrapped Deep Q Network](https://arxiv.org/abs/1602.04621) * [Bootstrapped Deep Q Network](https://arxiv.org/abs/1602.04621)
* [N-Step Q Learning](https://arxiv.org/abs/1602.01783) | **Distributed** * [N-Step Q Learning](https://arxiv.org/abs/1602.01783) | **Distributed**
* [Neural Episodic Control (NEC) ](https://arxiv.org/abs/1703.01988) * [Neural Episodic Control (NEC)](https://arxiv.org/abs/1703.01988)
* [Normalized Advantage Functions (NAF)](https://arxiv.org/abs/1603.00748.pdf) | **Distributed** * [Normalized Advantage Functions (NAF)](https://arxiv.org/abs/1603.00748.pdf) | **Distributed**
* [Policy Gradients (PG)](http://www-anw.cs.umass.edu/~barto/courses/cs687/williams92simple.pdf) | **Distributed** * [Policy Gradients (PG)](http://www-anw.cs.umass.edu/~barto/courses/cs687/williams92simple.pdf) | **Distributed**
* [Actor Critic / A3C](https://arxiv.org/abs/1602.01783) | **Distributed** * [Asynchronous Advantage Actor-Critic (A3C)](https://arxiv.org/abs/1602.01783) | **Distributed**
* [Deep Deterministic Policy Gradients (DDPG)](https://arxiv.org/abs/1509.02971) | **Distributed** * [Deep Deterministic Policy Gradients (DDPG)](https://arxiv.org/abs/1509.02971) | **Distributed**
* [Proximal Policy Optimization (PPO)](https://arxiv.org/pdf/1707.06347.pdf) * [Proximal Policy Optimization (PPO)](https://arxiv.org/pdf/1707.06347.pdf)
* [Clipped Proximal Policy Optimization](https://arxiv.org/pdf/1707.06347.pdf) | **Distributed** * [Clipped Proximal Policy Optimization](https://arxiv.org/pdf/1707.06347.pdf) | **Distributed**