reinforcement-learning-kr / lets-do-irl
Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)
☆744Updated 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☆624Updated 10 months ago
- PyTorch implementation of soft actor critic☆864Updated 3 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆535Updated 3 years ago
- Implementations of selected inverse reinforcement learning algorithms.☆1,008Updated 2 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,280Updated last year
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,181Updated 4 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆622Updated 3 years ago
- 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
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆487Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,203Updated 2 weeks ago
- Imitation learning algorithms☆507Updated last week
- Code for conservative Q-learning☆428Updated 3 years ago
- This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.☆425Updated 3 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆486Updated 2 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆564Updated 7 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆675Updated 4 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆726Updated 2 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆329Updated 5 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆697Updated 2 years ago
- PyTorch implementation of SAC-Discrete.☆299Updated 8 months ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆617Updated 5 years ago
- PyTorch implementation of Trust Region Policy Optimization☆439Updated 6 years ago
- PyTorch implementation of deep reinforcement learning algorithms☆496Updated 3 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆297Updated 2 years ago
- ☆271Updated 6 years ago
- Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python☆273Updated 11 months ago
- Soft Actor-Critic☆1,060Updated last year
- TensorFlow2 Reinforcement Learning☆472Updated 3 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆351Updated 3 years ago