sfujim / BCQLinks
Author's PyTorch implementation of BCQ for continuous and discrete actions
☆641Updated 4 years ago
Alternatives and similar repositories for BCQ
Users that are interested in BCQ are comparing it to the libraries listed below
Sorting:
- Code for conservative Q-learning☆455Updated 3 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆509Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆558Updated 3 years ago
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆555Updated 2 years ago
- PyTorch implementation of SAC-Discrete.☆311Updated last year
- Prioritized Experience Replay (PER) implementation in PyTorch☆352Updated 5 years ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆764Updated last year
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆325Updated 3 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆373Updated 3 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆502Updated 2 years ago
- PyTorch implementation of soft actor critic☆908Updated 2 months ago
- PyTorch implementation of Trust Region Policy Optimization☆447Updated 7 years ago
- Mean Field Multi-Agent Reinforcement Learning☆404Updated 5 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆262Updated 5 years ago
- Implementation of benchmark RL algorithms☆470Updated 3 years ago
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆442Updated 2 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆317Updated 2 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆768Updated 3 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆721Updated 2 years ago
- This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.☆437Updated 3 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆652Updated 5 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,345Updated last year
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆161Updated 5 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆186Updated last year
- ☆394Updated 6 years ago
- Reinforcement Learning Algorithms Based on PyTorch☆448Updated 3 years ago
- A collection of offline reinforcement learning algorithms.☆200Updated 10 months ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆680Updated 7 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆600Updated 7 years ago
- Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" publi…☆241Updated 5 years ago