Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
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Updated
Nov 29, 2023 - Python
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
PyTorch implementation of soft actor critic
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)
A PyTorch library for building deep reinforcement learning agents.
Reinforcement Learning for real-time applications - host of the TrackMania Roborace League
DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)
Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes
PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.
PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)
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
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"
Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.
Combining deep learning and reinforcement learning.
Proto-RL: Reinforcement Learning with Prototypical Representations
JAX implementations of core Deep RL algorithms
Deep Reinforcement Learning Framework for Manipulator based on NVIDIA's Isaac-gym, Additional add SAC2019 and Reinforcement Learning from Demonstration Algorithm.
Soft Actor-Critic with advanced features
Single-file pytorch implementation of hybrid-SAC
A Torch Based RL Framework for Rapid Prototyping of Research Papers
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