off-policy

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.

RAD: Reinforcement Learning with Augmented Data

DrQ: Data regularized Q

SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning

⚡ Flashbax: Accelerated Replay Buffers in JAX

Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)

ExORL: Exploratory Data for Offline Reinforcement Learning

Actor Prioritized Experience Replay

RosefinAIEngine of Rosfintech

TensorFlow implementation of "Sample-efficient Imitation Learning via Generative Adversarial Nets"

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

PyTorch-implementation-DICE-algorithms

Jax-Based Off-Policy RL Algorithms

A novel method to incorporate existing policy (Rule-based control) with Reinforcement Learning.

[ 👾 ] ➡️ 💾 ➡️ { 🎮🕹️ } Extra Stable-Baselines3 buffer classes. Reducing RL memory usage drastically with minimal overhead.

PyTorch implementation of "Sample-efficient Imitation Learning via Generative Adversarial Nets"

PyTorch implementation of our work: "Lipschitzness Is All You Need To Tame Off-policy Generative Adversarial Imitation Learning"

This repository contains the implementation of a wide variety of Reinforcement Learning Projects in different applications of Bandit Algorithms, MDPs, Distributed RL and Deep RL. These projects include university projects and projects implemented due to interest in Reinforcement Learning.