staminatang Goto Github PK

acdl2020

acme

A library of reinforcement learning components and agents

active-domainrand

Code repository for Active Domain Randomization (CoRL 2019, https://arxiv.org/abs/1904.04762)

affectbased

Affect-based Intrinsic Rewards for Learning General Representations: https://arxiv.org/abs/1912.00403

asymmetric-actor-critic

Implementation of Asymmetric Actor Critic for Image-Based Robot Learning in Tensorflow.

awesome-3d-detectors

Paperlist of awesome 3D detection methods

awesome-diffusion-model-in-rl

A curated list of Diffusion Model in RL resources (continually updated)

awesome-graph-neural-networks

Paper Lists for Graph Neural Networks

awesome-meta-learning

A curated list of Meta-Learning resources/papers.

awesome-offline-rl

An index of algorithms for offline reinforcement learning (offline-rl)

awesome-real-world-rl

Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.

awesome-reinforcement-learning-zh

中文整理的强化学习资料（Reinforcement Learning）

awesome-transfer-learning

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

batch_rl

Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games

berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

bps-nav

bullet3

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

byzantine-federeated-rl

code for NeurIPS2021 paper on Federated Reinforcement Learning with Byzantine Resilience

cc-afbc

Advantage-Filtered Behavioral Cloning for Offline Continuous Control

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

coach

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

combined-experience-replay

A Deeper Look at Experience Replay (Zhang and Sutton, 2017)

competitive-pong

Competitive Pong environments. Used for IERG6130 assignment 4.

conpy

Python package for power mapping and functional connectivity using DICS

corro

CORRO code

cs330-stanford-2019

My notes and assignment solutions for Stanford CS330 (Fall 2019) Deep Multi-Task and Meta Learning

csrl

cuhkrlcourse.github.io

CUHK Reinforcement Learning Course

d3rlpy

A data-driven deep reinforcement learning library as an out-of-the-box tool

d4rl

A benchmark for offline reinforcement learning.