sfujim / BCQLinks
Author's PyTorch implementation of BCQ for continuous and discrete actions
☆638Updated 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☆452Updated 3 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆508Updated 2 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆347Updated 5 years ago
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆553Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆556Updated 3 years ago
- PyTorch implementation of SAC-Discrete.☆308Updated last year
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆498Updated 2 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆320Updated 3 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆761Updated 3 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆368Updated 3 years ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆762Updated last year
- Mean Field Multi-Agent Reinforcement Learning☆398Updated 5 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆260Updated 5 years ago
- PyTorch implementation of soft actor critic☆898Updated last month
- PyTorch implementation of Trust Region Policy Optimization☆447Updated 6 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆316Updated 2 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆648Updated 5 years ago
- Implementation of benchmark RL algorithms☆468Updated 3 years ago
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆438Updated 2 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆596Updated 7 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,328Updated last year
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆713Updated 2 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,239Updated 4 years ago
- Reinforcement Learning Algorithms Based on PyTorch☆447Updated 3 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆183Updated last year
- Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL☆642Updated last year
- Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆302Updated 2 years ago
- This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.☆435Updated 3 years ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆670Updated 7 years ago
- A collection of multi agent environments based on OpenAI gym.☆610Updated last year