denisyarats / pytorch_sac
PyTorch implementation of Soft Actor-Critic (SAC)
☆542Updated 3 years ago
Alternatives and similar repositories for pytorch_sac
Users that are interested in pytorch_sac are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of SAC-Discrete.☆302Updated 9 months ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆489Updated 2 years ago
- PyTorch implementation of soft actor critic☆876Updated 3 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆315Updated 3 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆488Updated 2 years ago
- This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.☆431Updated 3 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆305Updated 2 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆359Updated 3 years ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆350Updated 2 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆288Updated 4 years ago
- Code for conservative Q-learning☆438Updated 3 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆336Updated 5 years ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆749Updated last year
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆239Updated 5 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆625Updated 5 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆739Updated 2 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆628Updated 4 years ago
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆425Updated 2 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆259Updated 4 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,295Updated last year
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆222Updated 2 years ago
- Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆446Updated last year
- Reinforcement learning algorithms for MuJoCo tasks☆404Updated 2 months ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆574Updated 7 years ago
- PyTorch implementation of GAIL and AIRL based on PPO.☆217Updated 4 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆696Updated 2 years ago
- Tools for accelerating safe exploration research.☆534Updated 2 years ago
- An elegant PyTorch offline reinforcement learning library for researchers.☆329Updated last year
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022☆318Updated 8 months ago
- Dream to Control: Learning Behaviors by Latent Imagination☆536Updated 3 years ago