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refbox2015

Repository for the Referee-Box v2015 and related tools

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

reinforcement_learning_projects

Using (deep) reinforcement_learning algorithm to practice on OpenAI Gym, Unity ML-Agents,and other virtual environments. Using Python ,Pytorch/Tensorflow.

rl-collision-avoidance

Implementation of the paper "Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning"

rl-safety-algorithms

Implementations of safe reinforcement learning algorithms

rl_with_resets

JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"

rotograd

Official Pytorch's implementation of RotoGrad

rvo2

Optimal Reciprocal Collision Avoidance (C++)

safe-explorer

Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]

safe-explorer-1

PyTorch implementation of "Safe Exploration in Continuous Action Spaces" (Dalal et al., 2018)

safe-mbrl

Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method

safe-policy-optimization

This is a benchmark repository for safe reinforcement learning algorithms

safe-reinforcement-learning-baselines

The repository is for safe reinforcement learning baselines.

safe_near_optimal_mdp

Safe Reinforcement Learning in Constrained Markov Decision Processes

safedreamer

ICLR 2024: SafeDreamer: Safe Reinforcement Learning with World Models

saferl

Safe Reinforcement Learning algorithms

sg-dqn

Robot Navigation in a Crowd by Integrating Deep Reinforcement Learning and Online Planning

simatch

2016年**机器人大赛第一届中型组仿真比赛程序. Simulation for 2016 China Robotics Competition.

single_nubot_gazebo

Single robot basic motions simulation under Gazebo

sngnnv2

SNNGNN-V2

socialgym2

SocialGym 2: A lightweight benchmark and simulator for multi-robot social navigation using ROS and the OpenAI gym.

socnav1

A Dataset to Benchmark and Learn Social Navigation Conventions

socnavbench

A Grounded Simulation Testing Framework for Evaluating Social Navigation: https://arxiv.org/abs/2103.00047

softlearning

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

some_tools

Ubuntu, Softwa, Install

spectral-trajectory-and-behavior-prediction

This is the code base for Trajectory and Driver Behavior Prediction in Autonomous Vehicles using Spectral Graph Theory

stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

star

[ECCV 2020] Code for "Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction"

t2fpv

td3

Author's PyTorch implementation of TD3 for OpenAI gym tasks