CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
off-policy 开源项目推荐(54 个)
off-policy 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 54 个仓库这是Hindsight Experience Replay(HER)的pytorch实现——在所有取物机器人环境中进行实验。
DrQ: Data regularized Q
RAD: Reinforcement Learning with Augmented Data
⚡ Flashbax: Accelerated Replay Buffers in JAX
ExORL: Exploratory Data for Offline Reinforcement Learning
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)
[ 👾 ] ➡️ 💾 ➡️ { 🎮🕹️ } Extra Stable-Baselines3 buffer classes. Reducing RL memory usage drastically with minimal overhead.
Actor Prioritized Experience Replay
A rejection-sampling based distribution alignment method for extreme actor-policy mismatch RL Training
solving a simple 4*4 Gridworld almost similar to openAI gym FrozenLake using Qlearning Temporal difference method Reinforcement Learning
off-policy algorithm utilizing offline and online data
RosefinAIEngine of Rosfintech
TensorFlow implementation of "Sample-efficient Imitation Learning via Generative Adversarial Nets"
PyTorch implementation of "Sample-efficient Imitation Learning via Generative Adversarial Nets"
Off-Policy Correction for Actor-Critic Algorithms in Deep Reinforcement Learning
DDPG and D4PG Continuous Control
This repository contains all of the Reinforcement Learning-related projects I've worked on. The projects are part of the graduate course at the University of Tehran.
Collection of codes pertaining to my research in model-free RL algorithms.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/off-policy。
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