The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning. Learn more β
Top 9 Python A2c Projects
-
cleanrl
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
-
pytorch-a2c-ppo-acktr-gail
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
-
DeepRL-TensorFlow2
π Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
-
WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
Project mention: Is it better to not use the Target Update Frequency in Double DQN or depends on the application? | /r/reinforcementlearning | 2023-07-05The tianshou implementation I found at https://github.com/thu-ml/tianshou/blob/master/tianshou/policy/modelfree/dqn.py is DQN by default.
Project mention: [P] PettingZoo 1.24.0 has been released (including Stable-Baselines3 tutorials) | /r/reinforcementlearning | 2023-08-24PettingZoo 1.24.0 is now live! This release includes Python 3.11 support, updated Chess and Hanabi environment versions, and many bugfixes, documentation updates and testing expansions. We are also very excited to announce 3 tutorials using Stable-Baselines3, and a full training script using CleanRL with TensorBoard and WandB.
Python A2c related posts
- Is it better to not use the Target Update Frequency in Double DQN or depends on the application?
- δ»εθ½εδΎε
- PPO implementation in TensorFlow2
- My implementations of RL algorithms + demo and tutorial
- RL command line tool demo + notebook
- Xagents: Deep reinforcement learning command line tool box
- xagents: deep reinforcement learning command line tool box
-
A note from our sponsor - WorkOS
workos.com | 25 Apr 2024
Index
What are some of the best open-source A2c projects in Python? This list will help you:
Project | Stars | |
---|---|---|
1 | tianshou | 7,378 |
2 | cleanrl | 4,414 |
3 | ElegantRL | 3,436 |
4 | pytorch-a2c-ppo-acktr-gail | 3,423 |
5 | minimalRL | 2,725 |
6 | autonomous-learning-library | 638 |
7 | DeepRL-TensorFlow2 | 573 |
8 | actorch | 12 |
9 | IRL | 1 |
Sponsored