Comments (5)
Thanks for defining this class.. Can you share an example how to use this trainer class along with DDPG and SAC?
from rlkit.
Standard examples show how to do that. There is no difference between the current and this one. I use #52 for dataset size reasons though, but for the rest is pretty straightforward.
from rlkit.
Thanks.. @redknightlois , do you have a sample replay_buffer compatable with pytorch dataset class?
Is env_replay_buffer or any other class in rlkit.data_management is compatable?
Thanks,
Narasimha
from rlkit.
#52 is a pytorch dataset class.
from rlkit.
Hmmm, so it looks like the main difference is the addition of expert_data_collector
. Is that correct? In that case, I'm not sure if we need to create an entirely new class for this. One option would be to add that data to the replay buffer before passing the replay buffer to the algorithm. What do you think of that? It would help separate out the algorithm from the pretraining phase.
from rlkit.
Related Issues (20)
- unable to create the conda environment with linux-cpu-env.yml HOT 2
- Issue SMAC algorithm HOT 4
- multi-GPU optimised implementations for running algorithms HOT 1
- Doubt on Q-function loss in AWAC HOT 1
- Question about VAEPolicy in rlkit.torch.sac.policies HOT 2
- CustomMDPPathCollector is not found HOT 2
- Doubt on advantage calculation to update the policy on AWAC.
- Position Control with mujoco-py
- Cannot reproduce the results of IQL on antmaze HOT 1
- High Memory & Disk Requirement for SMAC HOT 1
- Skew-fit gaussian_identity_variance
- AWAC doesn't profit from offline data HOT 4
- IQL: make checkpoints public
- Could someone provide right environment installation procedure? HOT 4
- Python3.5 is not suitable for this project! HOT 1
- Why I could not see result file๏ผ
- SAC log_alpha different from paper HOT 1
- IQL results different with the paper HOT 1
- Reproduce and create figures results in AWAC.
- Download link is expired HOT 2
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. ๐๐๐
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google โค๏ธ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from rlkit.