google-research / batch_rlLinks
Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games
☆556Updated 2 years ago
Alternatives and similar repositories for batch_rl
Users that are interested in batch_rl are comparing it to the libraries listed below
Sorting:
- Code for conservative Q-learning☆462Updated 3 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆645Updated 4 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆513Updated 2 years ago
- DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (…☆481Updated last year
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆503Updated 2 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆354Updated 5 years ago
- Code for the paper "Phasic Policy Gradient"☆266Updated 2 years ago
- CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning☆595Updated 5 years ago
- A Python interface for reinforcement learning environments☆385Updated 2 years ago
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆703Updated last year
- Tools for accelerating safe exploration research.☆566Updated 2 years ago
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆446Updated 2 years ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆763Updated last year
- PyTorch implementation of Soft Actor-Critic (SAC)☆567Updated 3 years ago
- Dream to Control: Learning Behaviors by Latent Imagination☆562Updated 4 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆329Updated 3 years ago
- A collection of multi agent environments based on OpenAI gym.☆620Updated last year
- A PyTorch Platform for Distributed RL☆749Updated 4 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆206Updated 3 years ago
- Keeping track of RL experiments☆163Updated 2 years ago
- PyTorch implementation of SAC-Discrete.☆310Updated last year
- Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆305Updated 2 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆266Updated 5 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆328Updated 2 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆229Updated 3 years ago
- Structural implementation of RL key algorithms☆516Updated 2 years ago
- Code for Go-Explore: a New Approach for Hard-Exploration Problems☆577Updated 2 years ago
- List of competitions related to Reinforcement Learning☆349Updated last year
- PyTorch implementation of FQF, IQN and QR-DQN.☆186Updated last year
- Random Network Distillation pytorch☆256Updated 6 years ago