automl / CARLLinks
Benchmarking RL generalization in an interpretable way.
☆174Updated last month
Alternatives and similar repositories for CARL
Users that are interested in CARL are comparing it to the libraries listed below
Sorting:
- Partially Observable Process Gym☆211Updated 7 months ago
- Evaluating long-term memory of reinforcement learning algorithms☆160Updated 2 years ago
- Deep Hierarchical Planning from Pixels☆112Updated 3 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆103Updated 3 years ago
- Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)☆198Updated 2 years ago
- Representation Learning for RL☆129Updated 2 years ago
- Pytorch version of Dreamer, which follows the original TF v2 codes.☆139Updated 3 years ago
- Datasets for data-driven deep reinforcement learning with Atari (wrapper for datasets released by Google)☆127Updated last year
- OpenAI Gym wrapper for the DeepMind Control Suite☆226Updated last year
- Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"☆50Updated last year
- Author's PyTorch implementation of TD7 for online and offline RL☆159Updated 2 years ago
- ☆248Updated last year
- ☆53Updated 2 years ago
- Challenging Memory-based Deep Reinforcement Learning Agents☆108Updated last year
- PyTorch implementation of DreamerV2 model-based RL algorithm☆236Updated 2 years ago
- Clean single-file implementation of offline RL algorithms in JAX☆165Updated last month
- Simple single-file baselines for Q-Learning in pure-GPU setting☆231Updated last month
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆168Updated 11 months ago
- A tool for aggregating and plotting MARL experiment data.☆80Updated 11 months ago
- Simple maze environments using mujoco-py☆58Updated 2 years ago
- Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.☆321Updated 2 years ago
- ☆202Updated 2 years ago
- Implementations of robust Dual Curriculum Design (DCD) algorithms for unsupervised environment design.☆138Updated last year
- IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL☆45Updated 2 months ago
- ExORL: Exploratory Data for Offline Reinforcement Learning☆123Updated 3 years ago
- ☆359Updated 3 years ago
- A collection of RL algorithms written in JAX.☆104Updated 3 years ago
- Gridworld domains in the gym interface☆29Updated last year
- Code for MOPO: Model-based Offline Policy Optimization☆191Updated 3 years ago
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆38Updated 2 years ago