sfujim / BCQ
Author's PyTorch implementation of BCQ for continuous and discrete actions
☆625Updated 4 years ago
Alternatives and similar repositories for BCQ:
Users that are interested in BCQ are comparing it to the libraries listed below
- Code for conservative Q-learning☆435Updated 3 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆488Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆538Updated 3 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆355Updated 3 years ago
- PyTorch implementation of soft actor critic☆874Updated 3 years ago
- PyTorch implementation of SAC-Discrete.☆301Updated 8 months ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆731Updated 2 years ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆747Updated last year
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆548Updated last year
- Prioritized Experience Replay (PER) implementation in PyTorch☆332Updated 5 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆486Updated 2 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆310Updated 3 years ago
- A collection of reference environments for offline reinforcement learning☆1,471Updated 5 months ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,287Updated last year
- Soft Actor-Critic☆1,066Updated last year
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆619Updated 5 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆689Updated 2 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,188Updated 4 years ago
- Mean Field Multi-Agent Reinforcement Learning☆392Updated 5 years ago
- PyTorch implementation of Trust Region Policy Optimization☆441Updated 6 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆568Updated 7 years ago
- Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL☆625Updated 11 months ago
- An elegant PyTorch offline reinforcement learning library for researchers.☆320Updated last year
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆298Updated 2 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆259Updated 4 years ago
- A collection of multi agent environments based on OpenAI gym.☆598Updated 9 months ago
- This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.☆427Updated 3 years ago
- ☆390Updated 5 years ago
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆417Updated 2 years ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆650Updated 6 years ago