soft-actor-critic
There are 144 repositories under soft-actor-critic topic.
rail-berkeley/softlearning
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
quantumiracle/Popular-RL-Algorithms
PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
pranz24/pytorch-soft-actor-critic
PyTorch implementation of soft actor critic
Rafael1s/Deep-Reinforcement-Learning-Algorithms
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.
TianhongDai/reinforcement-learning-algorithms
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)
cpnota/autonomous-learning-library
A PyTorch library for building deep reinforcement learning agents.
ikostrikov/jaxrl
JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
denisyarats/pytorch_sac
PyTorch implementation of Soft Actor-Critic (SAC)
trackmania-rl/tmrl
Reinforcement Learning for real-time applications - host of the TrackMania Roborace League
MishaLaskin/rad
RAD: Reinforcement Learning with Augmented Data
zuoxingdong/lagom
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
RITCHIEHuang/DeepRL_Algorithms
DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)
araffin/learning-to-drive-in-5-minutes
Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes
BY571/Soft-Actor-Critic-and-Extensions
PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.
denisyarats/pytorch_sac_ae
PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)
sungyubkim/Deep_RL_with_pytorch
A pytorch tutorial for DRL(Deep Reinforcement Learning)
zhaohaojie1998/DRL-for-Path-Planning
深度强化学习路径规划, SAC-Auto路径规划, Soft Actor-Critic算法, SAC-pytorch，激光雷达Lidar避障，激光雷达仿真模拟，Adaptive-SAC
asieradzk/RL_Matrix
Deep Reinforcement Learning in C#
pokaxpoka/sunrise
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
evgenii-nikishin/rl_with_resets
JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"
ac-93/soft-actor-critic
Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.
cyoon1729/Policy-Gradient-Methods
Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC
arnomoonens/yarll
Combining deep learning and reinforcement learning.
denisyarats/proto
Proto-RL: Reinforcement Learning with Prototypical Representations
henry-prior/jax-rl
JAX implementations of core Deep RL algorithms
BY571/Deep-Reinforcement-Learning-Algorithm-Collection
Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.
cypypccpy/Isaac-ManipulaRL
Deep Reinforcement Learning Framework for Manipulator based on NVIDIA's Isaac-gym, Additional add SAC2019 and Reinforcement Learning from Demonstration Algorithm.
philtabor/ProtoRL
A Torch Based RL Framework for Rapid Prototyping of Research Papers
BlueFisher/Advanced-Soft-Actor-Critic
Soft Actor-Critic with advanced features
nisheeth-golakiya/hybrid-sac
Single-file pytorch implementation of hybrid-SAC
evgenii-nikishin/omd
JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
BY571/SAC_discrete
PyTorch implementation of the discrete Soft-Actor-Critic algorithm.
Rahul-Choudhary-3614/Deep-Reinforcement-Learning-Notebooks
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.
Vinson-sheep/multi_rotor_avoidance_rl
DRL-based path planner for real quadrotor
adithya-subramanian/Multi_Agent_Soft_Actor_Critic
A Pytorch Implementation of Multi Agent Soft Actor Critic
chaovven/PyRL
PyRL - Reinforcement Learning Framework in Pytorch (Policy Gradient, DQN, DDPG, TD3, PPO, SAC, etc.)