Code for 'Mapping State Space using Landmarks for Universal Goal Reaching'.
☆16Dec 26, 2023Updated 2 years ago
Alternatives and similar repositories for map_planner
Users that are interested in map_planner are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Sparse Graphical Memory for Robust Planning☆29Nov 21, 2022Updated 3 years ago
- ☆16Feb 22, 2021Updated 5 years ago
- ☆20Jan 31, 2022Updated 4 years ago
- Code for paper "Learning to Plan with Uncertain Topological Maps"☆10Aug 28, 2020Updated 5 years ago
- Jaehyung Kim et al's ACL 2023 paper on "infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-informat…☆16Jun 28, 2023Updated 2 years ago
- TensorFlow implementation of "A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Le…☆16Jul 2, 2022Updated 3 years ago
- ☆18Jun 8, 2023Updated 2 years ago
- Learning from Trajectories via Subgoal Discovery☆12Dec 10, 2020Updated 5 years ago
- [ACL 2025 Findings] Text2World: Benchmarking Large Language Models for Symbolic World Model Generation☆28Feb 25, 2025Updated last year
- Visual Representation Learning with Stochastic Frame Prediction (ICML 2024)☆26Nov 27, 2024Updated last year
- Code for paper "Hierarchically Decoupled Imitation for Morphological Transfer"☆17Mar 24, 2023Updated 2 years ago
- A tiny reinforcement learning codebase for continuous control, built on top of JAX.☆15Mar 28, 2023Updated 2 years ago
- Imitation learning from multiple experts☆13Aug 29, 2022Updated 3 years ago
- Code for [NeurIPS'2019 Spotlight] Policy Continuation with Hindsight Inverse Dynamics☆15Jan 7, 2020Updated 6 years ago
- ☆30Jun 4, 2022Updated 3 years ago
- [ICLR 2018] Tensorflow/Keras code for Semi-parametric Topological Memory for Navigation☆106Apr 9, 2019Updated 6 years ago
- Implementation of Data Efficient Reinforcement Learning in Pytorch☆20Aug 6, 2019Updated 6 years ago
- ☆72Jun 20, 2022Updated 3 years ago
- Google AI Research☆10Mar 11, 2020Updated 6 years ago
- ☆60Apr 16, 2023Updated 2 years ago
- Code for "Learning to Reach Goals via Iterated Supervised Learning"☆83May 16, 2022Updated 3 years ago
- ☆24Dec 4, 2020Updated 5 years ago
- ☆12Apr 25, 2022Updated 3 years ago
- A Tensorflow implementation of Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning☆32Oct 12, 2017Updated 8 years ago
- Official codebase for LEAP: Planning with Goal Conditioned Policies☆51Sep 30, 2022Updated 3 years ago
- ☆38Mar 10, 2022Updated 4 years ago
- personal paper reading on neural motion planner and controller☆24Aug 20, 2020Updated 5 years ago
- Learning Large-scale Neural Fields via Context Pruned Meta-Learning (NeurIPS 2023)☆28Sep 24, 2023Updated 2 years ago
- accompanying code for neurips submission "Goal-conditioned Imitation Learning"☆74Mar 16, 2023Updated 3 years ago
- Official repository for Paper "Offline Goal-Conditioned Reinforcement Learning via f-Advantage Regression" (NeurIPS 2022)☆37Oct 19, 2023Updated 2 years ago
- Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability☆205Oct 2, 2020Updated 5 years ago
- Python code : Clustering by fast search and find of density peaks☆10Oct 13, 2017Updated 8 years ago
- ☆12Nov 22, 2022Updated 3 years ago
- Diversity−Driven Extensible Hierarchical Reinforcement Learning. AAAI 2019.☆49Feb 23, 2019Updated 7 years ago
- Hierarchical Self-Play☆21Dec 5, 2018Updated 7 years ago
- ☆17Mar 13, 2021Updated 5 years ago
- (ICLR 2024) Reverse Forward Curriculum Learning☆53Nov 28, 2024Updated last year
- I have targeted to solve the benchmark problem in Reinforcement learning literature using Deep Q-networks with images as the only input t…☆12Dec 2, 2019Updated 6 years ago
- ☆17Oct 12, 2023Updated 2 years ago