uber-research / go-explore
Code for Go-Explore: a New Approach for Hard-Exploration Problems
☆561Updated 2 years ago
Alternatives and similar repositories for go-explore:
Users that are interested in go-explore are comparing it to the libraries listed below
- Dream to Control: Learning Behaviors by Latent Imagination☆526Updated 3 years ago
- A PyTorch Platform for Distributed RL☆746Updated 3 years ago
- DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (…☆468Updated 11 months ago
- Dream to Control: Learning Behaviors by Latent Imagination☆630Updated 4 years ago
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆548Updated last year
- Tools for accelerating safe exploration research.☆521Updated last year
- Real-World RL Benchmark Suite☆352Updated 4 years ago
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆673Updated 10 months ago
- Deep Planning Network: Control from pixels by latent planning with learned dynamics☆370Updated 3 years ago
- RAD: Reinforcement Learning with Augmented Data☆409Updated 3 years ago
- A Python interface for reinforcement learning environments☆362Updated 2 years ago
- Structural implementation of RL key algorithms☆511Updated last year
- CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning☆583Updated 4 years ago
- Pytorch Implementation of MuZero☆349Updated last year
- Simple and easily configurable 3D FPS-game-like environments for reinforcement learning☆725Updated 2 months ago
- Code for the paper "Exploration by Random Network Distillation"☆892Updated 4 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,275Updated last year
- A PyTorch library for building deep reinforcement learning agents.☆652Updated last year
- SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's arch…☆804Updated 2 years ago
- CuLE: A CUDA port of the Atari Learning Environment (ALE)☆236Updated 2 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆484Updated 2 years ago
- A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.☆999Updated 6 years ago
- DrQ: Data regularized Q☆413Updated 2 years ago
- World Models Experiments☆633Updated 2 years ago
- Python library for Reinforcement Learning.☆861Updated last month
- JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.☆665Updated 2 years ago
- Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch☆600Updated 2 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆195Updated 2 years ago
- PyTorch Agent Net: reinforcement learning toolkit for pytorch☆541Updated 4 months ago
- Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.☆846Updated 3 years ago