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followers: 2.0 following: 23.0 repos: 25.0 gists: 0.0

Name: Blank Shuo

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Blank Shuo's Projects

awesome-offline-rl

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

bcq

Author's PyTorch implementation of BCQ for continuous and discrete actions

corl

High-quality single-file implementations of SOTA Offline RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC

cql

Code for conservative Q-learning

cql-1

PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and continuous action spaces.

cql-2

Conservative Q Learning on top of SAC

d3rlpy

An offline deep reinforcement learning library

d4rl

A benchmark for offline reinforcement learning.

deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

di-engine

OpenDILab Decision AI Engine

mjrl

Reinforcement learning algorithms for MuJoCo tasks

offline-online-rl

Code for OFFLINE-ONLINE REINFORCEMENT LEARNING: EXTENDING BATCH AND ONLINE RL

offline_rl

Pytorch implementation of state-of-the-art offline reinforcement learning algorithms.

papers-of-offline-rl

Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)

pytorch-soft-actor-critic

PyTorch implementation of soft actor critic

pytorch_sac

PyTorch implementation of Soft Actor-Critic (SAC)

rl-plotter

:sparkles: A plotter for reinforcement learning (RL)

rl-unplugged-tfds-

This repository contains implementations and illustrative code to accompany DeepMind publications

rlkit

Collection of reinforcement learning algorithms

sac

Soft Actor-Critic

td3

Author's PyTorch implementation of TD3 for OpenAI gym tasks

td3_bc

Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL

td3_bc_jax

Direct port of TD3_BC to JAX using Haiku and optax.

v-d4rl

Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations

yoloair

🔥🔥🔥YOLOv7, YOLOv5, YOLOv4, Transformer, YOLOX, YOLOR, YOLOv3 and Improved-YOLOv5... Support to improve backbone, head, loss, IoU, NMS and other modules

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