automl / CARL
Benchmarking RL generalization in an interpretable way.
☆148Updated last week
Alternatives and similar repositories for CARL:
Users that are interested in CARL are comparing it to the libraries listed below
- A collection of RL algorithms written in JAX.☆95Updated 2 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆100Updated 2 years ago
- Evaluating long-term memory of reinforcement learning algorithms☆141Updated last year
- Partially Observable Process Gym☆183Updated 8 months ago
- Simple maze environments using mujoco-py☆54Updated last year
- Code for MOPO: Model-based Offline Policy Optimization☆174Updated 2 years ago
- PAIRED in PyTorch 🔥☆58Updated 2 years ago
- OpenAI Gym wrapper for the DeepMind Control Suite☆211Updated 10 months ago
- Deep Hierarchical Planning from Pixels☆95Updated 2 years ago
- ☆43Updated last year
- Conservative Q Learning on top of SAC☆129Updated 2 years ago
- Author's PyTorch implementation of TD7 for online and offline RL☆137Updated last year
- ExORL: Exploratory Data for Offline Reinforcement Learning☆111Updated 3 years ago
- Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"☆67Updated 9 months ago
- Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations☆100Updated 9 months ago
- Datasets for data-driven deep reinforcement learning with Atari (wrapper for datasets released by Google)☆115Updated 6 months ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆167Updated 2 years ago
- Baselines for gymnax 🤖☆66Updated last year
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆165Updated 2 months ago
- A tool for aggregating and plotting MARL experiment data.☆76Updated 2 months ago
- Pytorch version of Dreamer, which follows the original TF v2 codes.☆122Updated 3 years ago
- official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning☆89Updated 7 months ago
- Implementations of robust Dual Curriculum Design (DCD) algorithms for unsupervised environment design.☆130Updated 7 months ago
- Representation Learning for RL☆123Updated 2 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆83Updated 3 years ago
- Prioritized Experience Replay implementation with proportional prioritization☆76Updated last year
- Benchmarked implementations of Offline RL Algorithms.☆72Updated 2 weeks ago
- Clean single-file implementation of offline RL algorithms in JAX☆135Updated 2 months ago
- Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.☆120Updated 3 years ago
- ☆53Updated last year