flux-beamer
RL-Adventure
| flux-beamer | RL-Adventure | |
|---|---|---|
| 1 | 3 | |
| 67 | 2,903 | |
| - | - | |
| 0.0 | 0.0 | |
| over 5 years ago | over 2 years ago | |
| TeX | Jupyter Notebook | |
| - | - |
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flux-beamer
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[N] 20 hours of new lectures on Deep Learning and Reinforcement Learning with lots of examples
Thanks, I used a slight modification of https://github.com/pvanberg/flux-beamer
RL-Adventure
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Applied resources in Pytorch?
can check this out.
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Is there a consensus about RL frameworks?
For me, nothing beats RL-Adventure. It's not perfect, it has bugs, but it's super readable and will let you level up through the different main methods.
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[N] 20 hours of new lectures on Deep Learning and Reinforcement Learning with lots of examples
Lecture 7: Function approximation. (slides, code, video)
What are some alternatives?
RL-Adventure-2 - Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters [Moved to: https://github.com/higgsfield-ai/higgsfield]
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
machin - Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
dcss-ai-wrapper - An API for Dungeon Crawl Stone Soup for Artificial Intelligence research.
nle - The NetHack Learning Environment
acme - A library of reinforcement learning components and agents
maze - Maze Applied Reinforcement Learning Framework
pfrl - PFRL: a PyTorch-based deep reinforcement learning library