wenhaoma-uts Goto Github PK

adversarial-policies

Find best-response to a fixed policy in multi-agent RL

benchmarl

A collection of MARL benchmarks based on TorchRL

counterfactual-multi-agent-policy-gradients

PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deep_rl_for_swarms

deepbots

A wrapper framework for Reinforcement Learning in Webots simulator using Python 3.

deeprl-tutorials

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

deepsets

dgn

DGN Code

di-engine

OpenDILab Decision AI Engine

dqn-multi-agent-rl

Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)

empatica-e4-lsl

Python script for the Empatica E4 to connect to E4 streaming server and stream data using LSL.

epymarl

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

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

github-slideshow

A robot powered training repository :robot:

gpl

Codebase for the Graph-based Policy Learning algorithm, which is designed for learning policies to solve the open ad hoc teamwork problem.

gpt4free

The official gpt4free repository | various collection of powerful language models

gym-minigrid

Minimalistic gridworld package for OpenAI Gym

gym-pybullet-drones

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

gymnasium

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

highway-env

A minimalist environment for decision-making in autonomous driving

imitation

Clean PyTorch implementations of imitation and reward learning algorithms

isaacgymenvs

Isaac Gym Reinforcement Learning Environments

lb-foraging

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

liam

Official Repository for "Agent Modelling under Partial Observability for Deep Reinforcement Learning"

liblsl-python

Python bindings (pylsl) for liblsl

m-curl

M-CURL: Masked Contrastive Representation Learning for Reinforcement Learning

ma-gym

A collection of multi agent environments based on OpenAI gym.

maac

Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019

maddpg

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"