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31 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.

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.

Reinforcement Learning for real-time applications - host of the TrackMania Roborace League

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)

Soft Actor Critic And Extensions ⭐ 87

PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.

Combining deep learning and reinforcement learning.

JAX implementations of core Deep RL algorithms

Advanced Soft Actor Critic ⭐ 39

Soft Actor-Critic with advanced features

Pytorch_sac_ae ⭐ 38

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

Drl For Path Planning ⭐ 37

深度强化学习路径规划, SAC路径规划, Soft Actor-Critic算法, SAC-pytorch，激光雷达Lidar避障

Proto-RL: Reinforcement Learning with Prototypical Representations

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.

Meta Sac ⭐ 18

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

Rl Toolkit ⭐ 17

RL-Toolkit: A Research Framework for Robotics

Multi_rotor_avoidance_rl ⭐ 11

DRL-based path planner for real quadrotor

Quantumexplorer ⭐ 10

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

Soft Actor Critic ⭐ 10

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

A Torch Based RL Framework for Rapid Prototyping of Research Papers

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

Vision-based robotic arm grasping using deep reinforcement learning

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.

Sb3 Jax Haiku ⭐ 7

stable-baselines with JAX & Haiku

Discrete Sac Pytorch ⭐ 6

PyTorch implementation of discrete version of Soft Actor-Critic.

Spinning_up_kr ⭐ 6

Machinelearning ⭐ 6

Various machine learning implementations and tools

PyTorch implementation of the Discrete Soft Actor-Critic algorithm with RNN policy

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