automl / CARLLinks
Benchmarking RL generalization in an interpretable way.
☆170Updated 2 weeks ago
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☆207Updated 5 months ago
- Evaluating long-term memory of reinforcement learning algorithms☆154Updated 2 years ago
- Challenging Memory-based Deep Reinforcement Learning Agents☆105Updated last year
- Deep Hierarchical Planning from Pixels☆109Updated 2 years ago
- Datasets for data-driven deep reinforcement learning with Atari (wrapper for datasets released by Google)☆127Updated last year
- ☆242Updated last year
- Simple single-file baselines for Q-Learning in pure-GPU setting☆222Updated last week
- PyTorch implementation of DreamerV2 model-based RL algorithm☆233Updated 2 years ago
- Representation Learning for RL☆128Updated 2 years ago
- OpenAI Gym wrapper for the DeepMind Control Suite☆224Updated last year
- ☆203Updated 2 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆103Updated 3 years ago
- Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"☆50Updated last year
- Simple maze environments using mujoco-py☆57Updated last year
- Pytorch version of Dreamer, which follows the original TF v2 codes.☆133Updated 3 years ago
- Author's PyTorch implementation of TD7 for online and offline RL☆154Updated 2 years ago
- Clean single-file implementation of offline RL algorithms in JAX☆162Updated last week
- Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"☆80Updated last year
- Online Goal-Conditioned Reinforcement Learning in JAX. ICLR 2025 Spotlight.☆193Updated last week
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆38Updated 2 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
- ☆52Updated 2 years ago
- IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL☆45Updated last month
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022☆338Updated last year
- ☆46Updated 2 weeks ago
- Accompanying Code for "Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning", ICML 2023☆22Updated last year
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆181Updated 3 years ago
- ☆357Updated 3 years ago
- Implementations of robust Dual Curriculum Design (DCD) algorithms for unsupervised environment design.☆137Updated last year
- Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.☆318Updated last year