Wenhao Ma's repositories

gym-anytrading

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

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open-interpreter

A natural language interface for computers.

License:AGPL-3.0Stargazers:0Issues:0Issues:0

gpt4free

The official gpt4free repository | various collection of powerful language models

License:GPL-3.0Stargazers:0Issues:0Issues:0

BenchMARL

A collection of MARL benchmarks based on TorchRL

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IsaacGymEnvs

Isaac Gym Reinforcement Learning Environments

License:NOASSERTIONStargazers:0Issues:0Issues:0

MineDojo

Building Open-Ended Embodied Agents with Internet-Scale Knowledge

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Voyager

An Open-Ended Embodied Agent with Large Language Models

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malmo

Project Malmo is a platform for Artificial Intelligence experimentation and research built on top of Minecraft. We aim to inspire a new generation of research into challenging new problems presented by this unique environment. --- For installation instructions, scroll down to *Getting Started* below, or visit the project page for more information:

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License:MITStargazers:0Issues:0Issues:0

pysc2

StarCraft II Learning Environment

License:Apache-2.0Stargazers:0Issues:0Issues:0

Plan4MC

Reinforcement learning and planning for Minecraft.

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omnisafe

OmniSafe is an infrastructural framework for accelerating SafeRL research.

License:Apache-2.0Stargazers:0Issues:0Issues:0

UAV_Navigation_DRL_AirSim

This is a new repo used for training UAV navigation (local path planning) policy using DRL methods.

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ViT

Implementing Vi(sion)T(transformer)

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Gymnasium

A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

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gym-pybullet-drones

PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control

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MARLlib

The MARL extension for RLlib. A benchmark for research and industry.

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InfoGAN-PyTorch

PyTorch Implementation of InfoGAN

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Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

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MARL-Algorithms

Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

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SimCLR

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

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imitation

Clean PyTorch implementations of imitation and reward learning algorithms

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SupContrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

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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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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).

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DI-engine

OpenDILab Decision AI Engine

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lb-foraging

Level-based Foraging (LBF): A multi-agent environment for RL

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overcooked_ai

A benchmark environment for fully cooperative human-AI performance.

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epymarl

An extension of the PyMARL codebase that includes additional algorithms and environment support

License:Apache-2.0Stargazers:0Issues:0Issues:0

pymarl

Python Multi-Agent Reinforcement Learning framework

License:Apache-2.0Stargazers:1Issues:0Issues:0