reinforcement-learning-kr / lets-do-irl
Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)
☆736Updated last year
Alternatives and similar repositories for lets-do-irl:
Users that are interested in lets-do-irl are comparing it to the libraries listed below
- Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL☆618Updated 9 months ago
- PyTorch implementation of soft actor critic☆854Updated 3 years ago
- Implementations of selected inverse reinforcement learning algorithms.☆1,000Updated 2 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,270Updated last year
- PyTorch implementation of Soft Actor-Critic (SAC)☆527Updated 3 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆685Updated last year
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆605Updated 5 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,182Updated last year
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆610Updated 3 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,161Updated 4 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆695Updated 2 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆547Updated 7 years ago
- Soft Actor-Critic☆1,043Updated last year
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆715Updated 2 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆304Updated 3 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆483Updated 2 years ago
- Imitation learning algorithms☆497Updated 7 months ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆320Updated 5 years ago
- A collection of reference environments for offline reinforcement learning☆1,420Updated 3 months ago
- PyTorch implementation of SAC-Discrete.☆297Updated 7 months ago
- Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)☆372Updated 5 years ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆635Updated 6 years ago
- Code for conservative Q-learning☆424Updated 3 years ago
- Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python☆264Updated 10 months ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆674Updated 4 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆292Updated last year
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆342Updated 3 years ago
- Mean Field Multi-Agent Reinforcement Learning☆387Updated 4 years ago
- ☆1,126Updated 9 months ago
- A collection of multi agent environments based on OpenAI gym.☆589Updated 7 months ago