Efficient Real-World RL for Legged Locomotion via Adaptive Policy Regularization

IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation

TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning 🔥 ⚡ 🌈

Official implementation for "Anti-Exploration by Random Network Distillation", ICML 2023

Python Multi-Agent Reinforcement Learning framework

RE3: State Entropy Maximization with Random Encoders for Efficient Exploration

Minimalistic gridworld package for OpenAI Gym

[ICLR 2021] Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments.

Code from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is the Evolution Strategies implementation, but of course the me…

Code for "Unsupervised State Representation Learning in Atari"

Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction

This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".

Reinforcement Learning with Deep Energy-Based Policies

Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"

Unity Machine Learning Agents Toolkit

Real numbers, data science and chaos: How to fit any dataset with a single parameter

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Repository for Programming Assignment 2 for R Programming on Coursera

Simple yet powerful library for building modern web interfaces.

Go语言圣经《The Go Programming Language》中文版!

Tomorrow Theme the precursor to Base16 Theme

The ultimate generator based flow-control goodness for nodejs (supports thunks, promises, etc)

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