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Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
Created
2018-12-03
1,490 commits to master branch, last one 3 years ago
PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
Created
2019-04-19
236 commits to master branch, last one about a year ago
PyTorch implementation of soft actor critic
Created
2018-08-31
168 commits to master branch, last one 3 years ago
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.
Created
2019-04-07
995 commits to master branch, last one 3 years ago
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 st...
Created
2018-01-13
25 commits to master branch, last one 4 years ago
JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
Created
2021-01-16
133 commits to main branch, last one 2 years ago
A PyTorch library for building deep reinforcement learning agents.
Created
2018-11-07
300 commits to develop branch, last one 10 months ago
Reinforcement Learning for real-time applications - host of the TrackMania Roborace League
Created
2020-07-08
700 commits to master branch, last one 2 months ago
PyTorch implementation of Soft Actor-Critic (SAC)
Created
2020-01-22
27 commits to master branch, last one 3 years ago
RAD: Reinforcement Learning with Augmented Data
Created
2020-04-09
23 commits to master branch, last one 3 years ago
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
Created
2017-12-21
703 commits to master branch, last one 5 years ago
DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)
Created
2019-07-30
24 commits to master branch, last one 3 years ago
PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.
Created
2020-02-20
58 commits to master branch, last one 3 years ago
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
Created
2023-05-18
132 commits to master branch, last one 8 months ago
A pytorch tutorial for DRL(Deep Reinforcement Learning)
Created
2019-02-04
80 commits to master branch, last one about a year ago
Deep Reinforcement Learning in C#
dqn
ppo
sac
gail
dotnet
cartpole
gail-ppo
multi-agent
deep-learning
machine-learning
multi-environment
soft-actor-critic
reinforcement-learning
deep-reinforcement-learning
proximal-policy-optimization
reinforcement-learning-agent
reinforcement-learning-algorithms
multi-agent-reinforcement-learning
reinforcement-learning-environments
Created
2023-08-15
77 commits to master branch, last one 3 months ago
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
Created
2020-07-02
7 commits to master branch, last one 3 years ago
JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"
Created
2022-05-17
1 commits to main branch, last one 2 years ago
Proto-RL: Reinforcement Learning with Prototypical Representations
Created
2021-02-22
5 commits to main branch, last one 3 years ago
Combining deep learning and reinforcement learning.
Created
2016-09-04
517 commits to tf2 branch, last one 3 years ago
JAX implementations of core Deep RL algorithms
Created
2020-04-12
58 commits to master branch, last one 2 years ago
Deep Reinforcement Learning Framework for Manipulator based on NVIDIA's Isaac-gym, Additional add SAC2019 and Reinforcement Learning from Demonstration Algorithm.
Created
2021-10-06
55 commits to master branch, last one 2 years ago
A Torch Based RL Framework for Rapid Prototyping of Research Papers
Created
2023-04-10
108 commits to master branch, last one 25 days ago
Single-file pytorch implementation of hybrid-SAC
Created
2021-05-24
52 commits to main branch, last one 3 years ago
PyTorch implementation of the discrete Soft-Actor-Critic algorithm.
Created
2021-09-30
4 commits to main branch, last one 3 years ago
Soft Actor-Critic with advanced features
Created
2019-05-03
543 commits to master branch, last one 5 days ago
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 algo...
Created
2020-07-09
86 commits to master branch, last one 3 years ago
JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
Created
2021-06-06
10 commits to main branch, last one 3 years ago
PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm
Created
2022-06-09
7 commits to main branch, last one 2 years ago
DRL-based path planner for real quadrotor
Created
2021-09-29
54 commits to main branch, last one about a year ago