pranz24 / pytorch-soft-actor-criticLinks
PyTorch implementation of soft actor critic
☆885Updated 3 years ago
Alternatives and similar repositories for pytorch-soft-actor-critic
Users that are interested in pytorch-soft-actor-critic are comparing it to the libraries listed below
Sorting:
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,310Updated last year
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆755Updated last year
- PyTorch implementation of Soft Actor-Critic (SAC)☆552Updated 3 years ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,893Updated last year
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,256Updated 3 months ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆752Updated 3 years ago
- Soft Actor-Critic☆1,105Updated last year
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆639Updated 5 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,225Updated 4 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆586Updated 7 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆500Updated 2 years ago
- A collection of reference environments for offline reinforcement learning☆1,510Updated 7 months ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆345Updated 5 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆632Updated 4 years ago
- Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch☆616Updated 6 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆703Updated 2 years ago
- PyTorch implementation of SAC-Discrete.☆305Updated 11 months ago
- Code for conservative Q-learning☆446Updated 3 years ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆664Updated 7 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆494Updated 2 years ago
- Vanilla DQN, Double DQN, and Dueling DQN implemented in PyTorch☆521Updated 7 years ago
- Python Multi-Agent Reinforcement Learning framework☆2,039Updated 2 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆712Updated 3 years ago
- Simple A3C implementation with pytorch + multiprocessing☆643Updated 2 years ago
- Collection of reinforcement learning algorithms☆2,709Updated last year
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,598Updated 2 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,280Updated 5 years ago
- This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.☆433Updated 3 years ago
- PyTorch implementation of Trust Region Policy Optimization☆442Updated 6 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆361Updated 3 years ago