mit-acl / gym-minigridLinks
☆13Updated 5 years ago
Alternatives and similar repositories for gym-minigrid
Users that are interested in gym-minigrid are comparing it to the libraries listed below
Sorting:
- Code for Posterior Sampling for Deep Reinforcement Learning, ICML 2023☆28Updated last year
- Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.☆80Updated last year
- [ICML 2021] Learning Task Informed Abstractions -- a representation learning approach for model-based RL in complex visual domains☆18Updated 4 years ago
- Controllability-Aware Unsupervised Skill Discovery (ICML 2023)☆28Updated 2 years ago
- ☆25Updated 4 years ago
- Controllability-Aware Unsupervised Skill Discovery (ICML 2023)☆33Updated 2 years ago
- Collection of papers and resources for data augmentation (DA) in visual reinforcement learning (RL).☆80Updated last year
- Model-Based Reinforcement Learning via Latent-Space Collocation.☆34Updated 2 years ago
- Source files to replicate experiments in my ICLR 2022 paper.☆70Updated 5 months ago
- ☆72Updated 3 years ago
- Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.☆110Updated 2 years ago
- PyTorch code accompanying the paper "Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning" (NeurIPS 2020 spot…☆44Updated 2 years ago
- ☆22Updated 3 years ago
- Codebase for the paper "How Crucial is Transformer in Decision Transformer?". Containing experiments on different pendulum tasks and code…☆27Updated 2 years ago
- ☆25Updated last year
- Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…☆55Updated 4 years ago
- Learning bisimulation metrics for control, particularly suited to sparse reward settings☆10Updated 2 years ago
- ☆23Updated last year
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆68Updated last year
- Meta-RL Model-Based Algorithm☆41Updated 7 months ago
- ☆40Updated 4 years ago
- Image-based gridworld experiment for learning Markov state abstractions☆21Updated last year
- Official codebase for LEAP: Planning with Goal Conditioned Policies☆51Updated 3 years ago
- Official release of CompoSuite, a compositional RL benchmark☆50Updated last year
- Official repository for Paper "Offline Goal-Conditioned Reinforcement Learning via f-Advantage Regression" (NeurIPS 2022)☆36Updated 2 years ago
- Code for "World Model as a Graph: Learning Latent Landmarks for Planning" (ICML 2021 Long Presentation)☆68Updated 4 years ago
- Resilient Model-Based RL by Regularizing Posterior Predictability☆22Updated last year
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆92Updated last year
- This is the official implementation of NeurIPS 2022 paper "Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal R…☆35Updated 2 years ago
- [ECCV2022] [T-PAMI] StARformer: Transformer with State-Action-Reward Representations.☆95Updated 2 years ago