soft-actor-critic

Here are 148 public repositories matching this 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.

machine-learning deep-neural-networks reinforcement-learning deep-learning deep-reinforcement-learning soft-actor-critic

Updated Nov 29, 2023
Python

quantumiracle / Popular-RL-Algorithms

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PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

reinforcement-learning state-of-the-art soft-actor-critic

Updated Mar 13, 2025
Jupyter Notebook

pranz24 / pytorch-soft-actor-critic

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PyTorch implementation of soft actor critic

reinforcement-learning deep-reinforcement-learning pytorch pytorch-implmention soft-actor-critic

Updated Nov 9, 2021
Python

Rafael1s / Deep-Reinforcement-Learning-Algorithms

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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.

deep-reinforcement-learning dqn cartpole ddpg sac deep-rl-algorithms ppo a2c lunarlander td3 soft-actor-critic bipedalwalker carracing github-udacity dqn-ppo-ddpg hopperbulletenv antbulletenv halfcheetahbulletenv walker2dbulletenv

Updated Jun 17, 2021
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TianhongDai / reinforcement-learning-algorithms

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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)

algorithm deep-learning atari2600 flappy-bird deep-reinforcement-learning pytorch dqn ddpg sac actor-critic trpo dueling-dqn trust-region-policy-optimization proximal-policy-optimization ppo a2c soft-actor-critic

Updated Jan 16, 2021
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ikostrikov / jaxrl

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JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.

reinforcement-learning deep-learning deep-reinforcement-learning gym flax behavioral-cloning sac continuous-control deep-deterministic-policy-gradient jax soft-actor-critic offline-reinforcement-learning batch-reinforcement-learning

Updated Oct 26, 2022
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cpnota / autonomous-learning-library

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A PyTorch library for building deep reinforcement learning agents.

reinforcement-learning deep-reinforcement-learning dqn reinforcement-learning-algorithms ddpg sac deep-q-learning deep-deterministic-policy-gradient proximal-policy-optimization ppo advantage-actor-critic a2c soft-actor-critic dqn-pytorch

Updated Mar 17, 2024
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trackmania-rl / tmrl

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

reinforcement-learning pytorch self-driving-car trackmania soft-actor-critic

Updated Mar 24, 2025
Python

denisyarats / pytorch_sac

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PyTorch implementation of Soft Actor-Critic (SAC)

reinforcement-learning deep-learning deep-reinforcement-learning pytorch gym sac continuous-control actor-critic mujoco dm-control soft-actor-critic d4pg

Updated Dec 5, 2021
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MishaLaskin / rad

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RAD: Reinforcement Learning with Augmented Data

Updated Mar 29, 2021
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zuoxingdong / lagom

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lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

Updated Nov 19, 2022
Jupyter Notebook

zhaohaojie1998 / DRL-for-Path-Planning

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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

path-planning lidar sac gym-environment soft-actor-critic drl-path-planning sac-pytorch drl-pytorch lidar-simulation obstacles-avoidance sac-path-planning path-planning-environment sac-auto

Updated Jun 4, 2024
Python

RITCHIEHuang / DeepRL_Algorithms

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DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

deep-reinforcement-learning dqn policy-gradient reinforcement-learning-algorithms reinforcement trpo mujoco pytorch-rl ppo td3 pytorch-implementation soft-actor-critic tensorflow2 policygradient

Updated Mar 25, 2023
Python

araffin / learning-to-drive-in-5-minutes

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Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes

simulator reinforcement-learning unity openai gym vae self-driving-car rl sac srl donkey-car state-representation-learning stable-baselines soft-actor-critic

Updated Apr 5, 2022
Python

BY571 / Soft-Actor-Critic-and-Extensions

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