sfujim / BCQLinks
Author's PyTorch implementation of BCQ for continuous and discrete actions
☆649Updated 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☆463Updated 3 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆516Updated 3 years ago
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆558Updated 2 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆356Updated 5 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆571Updated 3 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆504Updated 3 years ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆764Updated last year
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆379Updated 3 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆331Updated 4 years ago
- PyTorch implementation of SAC-Discrete.☆311Updated last year
- PyTorch implementation of soft actor critic☆923Updated 4 months ago
- Mean Field Multi-Agent Reinforcement Learning☆410Updated 5 years ago
- PyTorch implementation of Trust Region Policy Optimization☆450Updated 7 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆776Updated 3 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆328Updated 2 years ago
- Implementation of benchmark RL algorithms☆473Updated 3 years ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆728Updated 2 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆266Updated 5 years ago
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆449Updated 2 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,372Updated 2 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,259Updated 4 years ago
- Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL☆654Updated last year
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆610Updated 8 years ago
- Constrained Policy Optimization☆334Updated 8 years ago
- A collection of multi agent environments based on OpenAI gym.☆624Updated last year
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆669Updated 6 years ago
- Reinforcement Learning Algorithms Based on PyTorch☆451Updated 4 years ago
- A collection of reference environments for offline reinforcement learning☆1,617Updated last year
- A collection of offline reinforcement learning algorithms.☆205Updated last year
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆163Updated 5 years ago