pranz24 / pytorch-soft-actor-criticLinks
PyTorch implementation of soft actor critic
☆902Updated last month
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:
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆762Updated last year
- PyTorch implementation of Soft Actor-Critic (SAC)☆556Updated 3 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,332Updated last year
- Prioritized Experience Replay (PER) implementation in PyTorch☆349Updated 5 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,240Updated 4 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆761Updated 3 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,274Updated 5 months ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆648Updated 5 years ago
- Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch☆616Updated 7 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆638Updated 4 years ago
- PyTorch implementation of SAC-Discrete.☆308Updated last year
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,935Updated 2 years ago
- Soft Actor-Critic☆1,126Updated last year
- This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.☆435Updated 3 years ago
- A collection of reference environments for offline reinforcement learning☆1,561Updated 9 months ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆508Updated 2 years ago
- Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL☆645Updated last year
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆670Updated 7 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆596Updated 7 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆498Updated 2 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆713Updated 2 years ago
- Simple A3C implementation with pytorch + multiprocessing☆649Updated 2 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆721Updated 3 years ago
- A collection of multi agent environments based on OpenAI gym.☆610Updated last year
- Code for conservative Q-learning☆452Updated 3 years ago
- Implementations of selected inverse reinforcement learning algorithms.☆1,033Updated 2 years ago
- Vanilla DQN, Double DQN, and Dueling DQN implemented in PyTorch☆531Updated 7 years ago
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆700Updated last year
- Implementation of benchmark RL algorithms☆468Updated 3 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆320Updated 3 years ago