pranz24 / pytorch-soft-actor-criticLinks
PyTorch implementation of soft actor critic
☆895Updated 3 weeks 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:
- PyTorch implementation of Soft Actor-Critic (SAC)☆555Updated 3 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,323Updated last year
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,237Updated 4 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆346Updated 5 years ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆760Updated last year
- Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch☆617Updated 6 years ago
- Soft Actor-Critic☆1,124Updated last year
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,267Updated 4 months ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆759Updated 3 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆644Updated 5 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆638Updated 4 years ago
- PyTorch implementation of SAC-Discrete.☆307Updated last year
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆720Updated 3 years ago
- Simple A3C implementation with pytorch + multiprocessing☆649Updated 2 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆497Updated 2 years ago
- This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.☆433Updated 3 years ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆667Updated 7 years ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,918Updated 2 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆504Updated 2 years ago
- Vanilla DQN, Double DQN, and Dueling DQN implemented in PyTorch☆527Updated 7 years ago
- Python Multi-Agent Reinforcement Learning framework☆2,065Updated 2 years ago
- SMAC: The StarCraft Multi-Agent Challenge☆1,232Updated last year
- A collection of reference environments for offline reinforcement learning☆1,545Updated 8 months ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆596Updated 7 years ago
- A collection of multi agent environments based on OpenAI gym.☆607Updated last year
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆710Updated 2 years ago
- Implementation of benchmark RL algorithms☆467Updated 3 years ago
- Code for conservative Q-learning☆451Updated 3 years ago
- PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.☆412Updated 4 years ago
- Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL☆640Updated last year