sfujim / BCQLinks
Author's PyTorch implementation of BCQ for continuous and discrete actions
☆636Updated 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☆450Updated 3 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆504Updated 2 years ago
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆553Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆555Updated 3 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆318Updated 3 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆496Updated 2 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆366Updated 3 years ago
- PyTorch implementation of SAC-Discrete.☆307Updated last year
- Prioritized Experience Replay (PER) implementation in PyTorch☆345Updated 5 years ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆760Updated last year
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆316Updated 2 years ago
- PyTorch implementation of soft actor critic☆897Updated 2 weeks ago
- PyTorch implementation of Trust Region Policy Optimization☆441Updated 6 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆259Updated 5 years ago
- Mean Field Multi-Agent Reinforcement Learning☆397Updated 5 years ago
- Reinforcement Learning Algorithms Based on PyTorch☆449Updated 3 years ago
- Implementation of benchmark RL algorithms☆467Updated 3 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆759Updated 3 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,321Updated last year
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆435Updated 2 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆709Updated 2 years ago
- This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.☆433Updated 3 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆643Updated 5 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆595Updated 7 years ago
- TensorFlow2 Reinforcement Learning☆474Updated 3 years ago
- Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" publi…☆236Updated 4 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,233Updated 4 years ago
- Simple A3C implementation with pytorch + multiprocessing☆649Updated 2 years ago
- A collection of offline reinforcement learning algorithms.☆191Updated 8 months ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆182Updated last year