CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
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Updated
Oct 28, 2020 - Python
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
DrQ: Data regularized Q
RAD: Reinforcement Learning with Augmented Data
This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.
⚡ Flashbax: Accelerated Replay Buffers in JAX
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
ExORL: Exploratory Data for Offline Reinforcement Learning
Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)
solving a simple 4*4 Gridworld almost similar to openAI gym FrozenLake using Qlearning Temporal difference method Reinforcement Learning
PyTorch implementation of "Sample-efficient Imitation Learning via Generative Adversarial Nets"
Actor Prioritized Experience Replay
TensorFlow 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 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.
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.
PyTorch implementation of our work: "Lipschitzness Is All You Need To Tame Off-policy Generative Adversarial Imitation Learning"
A novel method to incorporate existing policy (Rule-based control) with Reinforcement Learning.
Collection of codes pertaining to my research in model-free RL algorithms.
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