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GitHub - Kaixhin/spinning-up-basic: Basic versions of agents from Spinning Up in...
source link: https://github.com/Kaixhin/spinning-up-basic
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README.md
spinning-up-basic
Basic versions of agents from Spinning Up in Deep RL written in PyTorch. Designed to run quickly on CPU on Pendulum-v0 from OpenAI Gym.
To see differences between algorithms, try running diff -y <file1> <file2>, e.g., diff -y ddpg.py td3.py.
For MPI versions of on-policy algorithms, see the mpi branch.
Algorithms
- Vanilla Policy Gradient/Advantage Actor-Critic (
vpg.py) - Trust Region Policy Gradient (
trpo.py) - Proximal Policy Optimization (
ppo.py) - Deep Deterministic Policy Gradient (
ddpg.py) - Twin Delayed DDPG (
td3.py) - Soft Actor-Critic (
sac.py) - Deep Q-Network (
dqn.py)
Results
Vanilla Policy Gradient/Advantage Actor-Critic
Trust Region Policy Gradient
Proximal Policy Optimization
Deep Deterministic Policy Gradient
Twin Delayed DDPG
Soft Actor-Critic
Deep Q-Network
Code Links
- Spinning Up in Deep RL (TensorFlow)
- Fired Up in Deep RL (PyTorch)
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