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32 search results found

Softlearning ⭐ 1,108

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

Autonomous Learning Library ⭐ 616

A PyTorch library for building deep reinforcement learning agents.

JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.

Pytorch Soft Actor Critic ⭐ 414

PyTorch implementation of soft actor critic

Reinforcement Learning Algorithms ⭐ 407

This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

RAD: Reinforcement Learning with Augmented Data

Deep Reinforcement Learning Algorithms ⭐ 235

32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

Pytorch_sac ⭐ 232

PyTorch implementation of Soft Actor-Critic (SAC)

Deep_rl_with_pytorch ⭐ 174

A pytorch tutorial for DRL(Deep Reinforcement Learning)

Deeprl_algorithms ⭐ 112

DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

Combining deep learning and reinforcement learning.

JAX implementations of core Deep RL algorithms

Pytorch_sac_ae ⭐ 38

PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

Rl_matrix ⭐ 36

Reinforcement Learning Agents in .NET

PyRL - Reinforcement Learning Framework in Pytorch (Policy Gradient, DQN, DDPG, TD3, PPO, SAC, etc.)

Isaac Manipularl ⭐ 24

Deep Reinforcement Learning Framework for Manipulator based on NVIDIA's Isaac-gym, Additional add SAC2019 and Reinforcement Learning from Demonstration Algorithm.

JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"

Meta Sac ⭐ 18

Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020

Deep Reinforcement Learning Algorithm Collection ⭐ 17

Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.

Deep Reinforcement Learning Notebooks ⭐ 13

This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.

Rl_with_resets ⭐ 11

JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"

Soft Actor Critic ⭐ 10

Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.

Quantumexplorer ⭐ 10

A quantum reinforcement learning framework for exploring new ideas, based on PyTorch and PennyLane.

Rlin200lines ⭐ 9

PyTorch implementations of Reinforcement Learning algorithms in less than 200 lines

Multi_agent_soft_actor_critic ⭐ 8

A Pytorch Implementation of Multi Agent Soft Actor Critic

Deep Rl Autonomous Systems ⭐ 7

Designing a control system to exploit model-free deep reinforcement learning algorithms to solve a real-world autonomous driving task of a small robot.

Vision-based robotic arm grasping using deep reinforcement learning

Version 3.0.0 Pytorch implementations of DQN, DDQN, DDPG, SAC, Discrete SAC. With more features :)

CURLA: CURL x CARLA -- Robust end-to-end Autonomous Driving by combining Contrastive Learning and Reinforcement Learning

Payment Channel Rebalancing ⭐ 7

A SimPy-based Discrete Event Simulator for a relay node in a payment channel network using different submarine swap rebalancing policies, including one based on Deep Reinforcement Learning.

Synapse Rl ⭐ 6

PyTorch framework for reinforcement learning

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