Reverse Dependencies of gym
The following projects have a declared dependency on gym:
- pandas-ml-utils — Augment pandas DataFrame with methods for machine learning
- pathmind — Python Simulations
- pct — Perceptual Control Theory with Python
- pddlgym — no summary
- pearll — Adaptable tools to make reinforcement learning and evolutionary computation algorithms
- peptide-encoder — An encoder for peptides (short amino acid sequences) based on BLOSUM similarity.
- pernaf — An implementation of the Normalized Advantage Function Reinforcement Learning Algorithm with Prioritized Experience Replay
- pfrl — PFRL, a deep reinforcement learning library
- pg-env — A OpenAI Gym Env for pg
- phynix-gym — no summary
- pixel-world — no summary
- planarenvs — Lightweight open-ai gym environments for planar kinematic chains.
- plato-learn — Packaged version of the Plato framework for federated learning research
- playground — A Playground for RL and Robotics Environments
- playtest — A library for rapid prototyping of boardgames.
- playwrightgym — Deep Reinforcement Learning Environments for web-based tasks using Playwright
- podworld — 2D partially observable dynamic world for RL experiments
- poke-env — A python interface for training Reinforcement Learning bots to battle on pokemon showdown.
- poker-gym — OpenAI Gym environment for Poker including No Limit Hold'em(NLHE) and Pot Limit Omaha(PLO)
- PokerRL — A framework for Reinforcement Learning in Poker.
- polycraft-lab — A tool to help train RL agents in novel environments.
- powderworld — A example Python package
- power-cogs — A set of useful research templates for deep learning projects
- pre-ai-python — Microsoft AI Python Package
- premaidai-gym — Roboshcool env for Premaid AI
- prevision-quantum-nn — Prevision Automating Quantum Neural Networks Applications
- pripy — Phase Retrieval algorithms in Python
- procgen-tools — Tools for working with Procgen environments
- program-synthesis — NEAR Program Synthesis: models, tools, and datasets for program synthesis tasks
- protein-folding-gym-utils — Package with Reinforcement Learning Environments for Protein Folding
- pyboy — Game Boy emulator written in Python
- pybullet-workshop-23 — A OpenAI Gym Env for pybullet and vision
- pybulletX — A Pythonic wrapper for pybullet
- pyforce-rl — PyForce - A simple reinforcement learning library
- PyIAAS — Code of IAAS Framework
- pymahjong — A Japanese Mahjong environment for decision AI research.
- pyqlib — A Quantitative-research Platform
- PyReinforce — Deep Reinforcement Learning library for Python
- pyrobolearn — A Python framework for roboticists and machine learning practitioners
- PYSNN — Framework for engineering and simulating spiking neural networks, built on top of PyTorch.
- Python-DRL — A pytorch-based deep reinforcement learning package
- pythonqlib — A Quantitative-research Platform
- pytorch-es — Evolutionary Strategies using PyTorch
- pytorch-icem — Improved Cross Entropy Method (iCEM) implemented in pytorch
- pytorch-lightning — PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate.
- pytorch-lightning-bolts — Deprecated in favor of Lightning Bolts - https://pypi.org/project/lightning-bolts
- pytorch-mppi — Model Predictive Path Integral (MPPI) implemented in pytorch
- pytorch-rllib — Reinforcement Learning Library.
- pytorchrl — Disributed RL implementations with ray and pytorch.
- q2 — A reinforcement learning framework and command line tool
- qdax — A Python Library for Quality-Diversity and NeuroEvolution
- qdeep — Simple Deep Q Learning framework.
- qianghua-evn — A OpenAI Gym Env for gym
- quanttrader — quanttrader backtest and live trading library
- qubot — Qubot automated testing framework.
- qyc-env — A OpenAI Gym for qyc
- rainy — Algorithm and utilities for deep reinforcement learning
- rasa-hydra — Forked from the open source machine learning framework, Rasa
- rasafou — Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
- ravens — Ravens is a collection of simulated tasks in PyBullet for learning vision-based robotic manipulation.
- RayEnvWrapper — OpenAi's gym environment wrapper to vectorize them with Ray
- rcmodel — 3R2C Resistor Capacitor Model for simplified building thermal simulation
- rddlgym — rddlgym: A toolkit for working with RDDL domains in Python3.
- re-env — no summary
- reagent — Facebook RL
- reaver — Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo. Matches reference results.
- recogym — Open-AI gym reinforcement learning environment for recommendation
- recsim — RecSim: A Configurable Recommender Systems Simulation Platform
- recsim-ng — RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems
- recsim-no-tf — RecSim: A Configurable Recommender Systems Simulation Platform (w/o Tensorflow deps)
- reinforcement — A reinforcement learning module
- reinforcement-learning-keras — no summary
- remote-env-test — Generate protobuf files in python and C++ to be used for remote access to RL environment
- replay-monitor — A tool for easy data exploration in reinforcement learning environments.
- ReverseEncodingTree — library for the Reverse Encoding Tree
- rigged-sb3 — Experimental version of SB3
- rl-agents — Implementation of various reinforcement learning methods.
- rl-algo-impls — Implementations of reinforcement learning algorithms
- rl-games — no summary
- rl-games-y — no summary
- rl-helper — no summary
- rl-musician — Composition of music with reinforcement learning.
- rl-replicas — Reinforcement Learning Replications is a set of Pytorch implementations of reinforcement learning algorithms.
- rl-toolkit — RL-Toolkit: A Research Framework for Robotics
- rl-warp-drive — Framework for fast end-to-end multi-agent reinforcement learning on GPUs.
- rl4net — Reinforcement Learning Tools for Network optimization
- rlagent — rlagent: Reinforcement learning framework in tensorflow, compatible with OpenAI Gym like environments.
- rlai — Reinforcement Learning: An Introduction
- rlapis — API for multi/single external RL Gym environments
- rldog — Core 4 Reinforcement learning algorithms, implemented with very high quality code (think type hints, tests, pep8 etc). Very easy to use with gym or gym-like environments
- RLDQN — Asynchronous DQN
- rlef — RLEF
- rlenv — Accenta.AI Gym Environement
- rlgraph — A Framework for Modular Deep Reinforcement Learning
- rlgridworld — This is a simple yet efficient, highly customizable grid-world implementation to run reinforcement learning algorithms.
- rlhive — A package to support RL research
- rljax — A collection of RL algorithms written in JAX.
- rllite — rl lite repository
- RLPack — Implementation of RL Algorithms
- rlprop — Reinforcement Learning agents implemented in pytorch