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Top 23 Python Gym Projects
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stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
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Gymnasium
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
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cleanrl
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
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PettingZoo
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
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rl-baselines3-zoo
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
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rl-baselines-zoo
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
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gym-pybullet-drones
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
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deepdrive
Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
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LightZero
[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios
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safe-control-gym
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
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GoBigger
[ICLR 2023] Come & try Decision-Intelligence version of "Agar"! Gobigger could also help you with multi-agent decision intelligence study.
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stable-baselines3-contrib
Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
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skrl
Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Isaac Orbit and Omniverse Isaac Gym
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RLeXplore
RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic curiosity module (ICM), random network distillation (RND) and rewarding impact-driven exploration (RIDE).
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The latest release (v3.0.0) of Upkie's software brings a functional sim-to-real reinforcement learning pipeline based on Stable Baselines3, with standard sim-to-real tricks. The pipeline trains on the Gymnasium environments distributed in upkie.envs (setup: pip install upkie) and is implemented in the PPO balancer. Here is a policy running on an Upkie:
"Show HN: Ghidra Plays Mario" (2023) https://news.ycombinator.com/item?id=37475761 :
[RL, MuZero reduxxxx ]
> Farama-Foundation/Gymnasium is a fork of OpenAI/gym and it has support for additional Environments like MuJoCo: https://github.com/Farama-Foundation/Gymnasium#environments
> Farama-Foundatiom/MO-Gymnasiun: "Multi-objective Gymnasium environments for reinforcement learning": https://github.com/Farama-Foundation/MO-Gymnasium
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.
Project mention: Show HN: Workout.lol – a web app to easily create a workout routine | news.ycombinator.com | 2023-07-09Great execution! Thanks for sharing. I wonder if you'd thought about integrating with [wger](https://github.com/wger-project/wger/), i.e. exporting the workouts from your app and creating it there.
Project mention: Open source rules engine for Magic: The Gathering | news.ycombinator.com | 2023-12-14I went looking for MuZero implementations in order to see how, exactly, they interact with the game space. Based on this one, which had the most stars in the muzero topic, it appears that it needs to be able to discern legal next steps from the current game state https://github.com/werner-duvaud/muzero-general/blob/master/...
So, I guess for the cards Forge has implemented one could MuZero it, but I believe it's a bit chicken and egg with a "free text" game like M:TG -- in order to train one would need to know legal steps for any random game state, but in order to have legal steps one would need to be able to read and interpret English rules and card text
Project mention: Can't solve MountainCar-v0 with A2C algorithm (stable-baselines3) | /r/reinforcementlearning | 2023-06-27I'm trying to solve MountainCar-v0 enviroment from gymnasium with the A2C algorithm and the agent doesn't find a solution. I checked this so I added import stable_baselines3.common.sb2_compat.rmsprop_tf_like as RMSpropTFLike. Also checked the rl-baselines3-zoo for the hyperparameter tuning. So my code is:
Project mention: LightZero: Sailing with MCTS, turns the vision of decision intelligence into reality | /r/reinforcementlearning | 2023-06-06
Project mention: [P] Introducing PPO and Rainbow DQN to our super fast evolutionary HPO reinforcement learning framework | /r/MachineLearning | 2023-10-15
Project mention: Problem with Truncated Quantile Critics (TQC) and n-step learning algorithm. | /r/reinforcementlearning | 2023-12-09# https://github.com/Stable-Baselines-Team/stable-baselines3-contrib/blob/master/sb3_contrib/tqc/tqc.py :
Python Gym related posts
- Show HN: Ghidra Plays Mario
- [P] PettingZoo 1.24.0 has been released (including Stable-Baselines3 tutorials)
- [Question] Why there is so few algorithms implemented in SB3?
- Show HN: Workout.lol – a web app to easily create a workout routine
- PPO agent for "2048": help requested
- Stable baselines! Where my people at?
- Libraries for Offline RL and Off-Policy Evaluation?
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Index
What are some of the best open-source Gym projects in Python? This list will help you:
Project | Stars | |
---|---|---|
1 | stable-baselines3 | 7,894 |
2 | Gymnasium | 5,704 |
3 | cleanrl | 4,459 |
4 | stable-baselines | 4,000 |
5 | wger | 2,789 |
6 | muzero-general | 2,373 |
7 | PettingZoo | 2,370 |
8 | Minigrid | 2,010 |
9 | rl-baselines3-zoo | 1,777 |
10 | rl-baselines-zoo | 1,106 |
11 | gym-pybullet-drones | 1,072 |
12 | Super-mario-bros-PPO-pytorch | 970 |
13 | deepdrive | 871 |
14 | LightZero | 869 |
15 | pytorch-A3C | 568 |
16 | ma-gym | 519 |
17 | safe-control-gym | 515 |
18 | AgileRL | 490 |
19 | GoBigger | 428 |
20 | stable-baselines3-contrib | 422 |
21 | skrl | 401 |
22 | JORLDY | 356 |
23 | RLeXplore | 317 |
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