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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 7 months ago
PyTorch implementation of soft actor critic
Created 2018-08-31
168 commits to master branch, last one 2 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 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
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mit
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JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
Created 2021-01-16
133 commits to main branch, last one about a year ago
PyTorch implementation of Soft Actor-Critic (SAC)
Created 2020-01-22
27 commits to master branch, last one 3 years ago
Reinforcement Learning for real-time applications - host of the TrackMania Roborace League
Created 2020-07-08
696 commits to master branch, last one about a month ago
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
Created 2017-12-21
703 commits to master branch, last one 4 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
A pytorch tutorial for DRL(Deep Reinforcement Learning)
Created 2019-02-04
80 commits to master branch, last one about a year 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 25 days ago
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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
Combining deep learning and reinforcement learning.
Created 2016-09-04
517 commits to tf2 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
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
Single-file pytorch implementation of hybrid-SAC
Created 2021-05-24
52 commits to main 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
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PyTorch implementation of the discrete Soft-Actor-Critic algorithm.
Created 2021-09-30
4 commits to main branch, last one 2 years ago