denisyarats / pytorch_sac
PyTorch implementation of Soft Actor-Critic (SAC)
☆535Updated 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
- PyTorch implementation of SAC-Discrete.☆299Updated 8 months ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆352Updated 3 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆487Updated 2 years ago
- PyTorch implementation of soft actor critic☆867Updated 3 years ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆347Updated 2 years ago
- Code for conservative Q-learning☆428Updated 3 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆307Updated 3 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆617Updated 5 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆486Updated 2 years ago
- This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.☆425Updated 3 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆726Updated 2 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆622Updated 3 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆286Updated 4 years ago
- Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆445Updated last year
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆413Updated 2 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆330Updated 5 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆297Updated 2 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆260Updated 4 years ago
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆239Updated 4 years ago
- Reinforcement learning algorithms for MuJoCo tasks☆395Updated 3 weeks ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆744Updated last year
- An elegant PyTorch offline reinforcement learning library for researchers.☆314Updated 11 months ago
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆584Updated 6 months ago
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022☆315Updated 7 months ago
- Imitation learning algorithms☆509Updated last week
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆688Updated last year
- A collection of reference environments for offline reinforcement learning☆1,453Updated 4 months ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆645Updated 6 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆219Updated 2 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆564Updated 7 years ago