sfujim / BCQ
Author's PyTorch implementation of BCQ for continuous and discrete actions
☆627Updated 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☆437Updated 3 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆541Updated 3 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆489Updated 2 years ago
- PyTorch implementation of Trust Region Policy Optimization☆440Updated 6 years ago
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆546Updated last year
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆359Updated 3 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆487Updated 2 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,294Updated last year
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆315Updated 3 years ago
- PyTorch implementation of SAC-Discrete.☆303Updated 9 months ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆749Updated last year
- PyTorch implementation of soft actor critic☆876Updated 3 years ago
- A collection of reference environments for offline reinforcement learning☆1,482Updated 5 months ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆738Updated 2 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆305Updated 2 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆625Updated 5 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆335Updated 5 years ago
- An elegant PyTorch offline reinforcement learning library for researchers.☆329Updated last year
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,197Updated 4 years ago
- Mean Field Multi-Agent Reinforcement Learning☆393Updated 5 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆695Updated 2 years ago
- This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.☆430Updated 3 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆573Updated 7 years ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆653Updated 6 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆259Updated 4 years ago
- Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL☆627Updated 11 months ago
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆421Updated 2 years ago
- TensorFlow2 Reinforcement Learning☆475Updated 3 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆707Updated 2 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆678Updated 4 years ago