hychen-naza / LEAPView external linksLinks
☆17Sep 28, 2023Updated 2 years ago
Alternatives and similar repositories for LEAP
Users that are interested in LEAP are comparing it to the libraries listed below
Sorting:
- ☆18Jan 3, 2022Updated 4 years ago
- ☆10Oct 11, 2022Updated 3 years ago
- Code base for paper: Reparameterized Policy Learning for Multimodal Trajectory Optimization☆27Jul 19, 2023Updated 2 years ago
- ☆11Aug 2, 2022Updated 3 years ago
- ☆15Jun 1, 2023Updated 2 years ago
- Implementation of Decision Stacks: Flexible RL via Modular Generative Models [NeurIPS 2023]☆12Jun 27, 2023Updated 2 years ago
- ☆12Dec 22, 2021Updated 4 years ago
- pytorch implementation of https://arxiv.org/abs/1705.09847☆15Dec 3, 2019Updated 6 years ago
- Official code for "Pretraining Representations For Data-Efficient Reinforcement Learning" (NeurIPS 2021)☆55Jul 27, 2021Updated 4 years ago
- [ICLR 2023] Choreographer: a world-model-based agent that discovers and learns unsupervised skills in latent imagination, and it's able t…☆41Jun 18, 2024Updated last year
- ☆17Mar 13, 2021Updated 4 years ago
- Learning from Guided Play: A Scheduled Hierarchical Approach for Improving Exploration in Adversarial Imitation Learning Source Code☆17Aug 23, 2024Updated last year
- Implementation of "Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update", NeurIPS 2019.☆16Sep 24, 2019Updated 6 years ago
- Minimal Decision Transformer Implementation written in Jax (Flax).☆17Aug 8, 2022Updated 3 years ago
- ☆18Apr 11, 2024Updated last year
- Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"☆20Oct 6, 2021Updated 4 years ago
- ☆15Dec 2, 2019Updated 6 years ago
- Latent Dynamics Mixture, NeurIPS 2021☆18Oct 25, 2022Updated 3 years ago
- ☆38Mar 10, 2022Updated 3 years ago
- ExORL: Exploratory Data for Offline Reinforcement Learning☆128Feb 8, 2022Updated 4 years ago
- [NeurIPS 2023] Refining Diffusion Planner for Reliable Behavior Synthesis by Automatic Detection of Infeasible Plans☆22Jan 31, 2024Updated 2 years ago
- Bipedal Skills Benchmark for Reinforcement Learning☆25Oct 27, 2022Updated 3 years ago
- Scalable Opponent Shaping Experiments in JAX☆25Apr 13, 2024Updated last year
- Code for Abstract-to-Executable Trajectory Translation for One Shot Task Generalization (ICML 2023)☆23May 12, 2023Updated 2 years ago
- ☆23Oct 4, 2021Updated 4 years ago
- (NeurIPS '22) LISA: Learning Interpretable Skill Abstractions - A framework for unsupervised skill learning using Imitation☆29Feb 22, 2023Updated 2 years ago
- Image-based gridworld experiment for learning Markov state abstractions☆21Sep 16, 2024Updated last year
- Code for the paper "Learning Options via Compression" at NeurIPS 2022☆25Jan 11, 2023Updated 3 years ago
- Official pytorch implementation of the paper <Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts>.☆21Nov 22, 2025Updated 2 months ago
- Reward shaping approach for instruction following settings, leveraging language at multiple levels of abstraction.☆21Mar 9, 2021Updated 4 years ago
- Implementation of ICML2020 paper <Bidirectional Model-based Policy Optimization>☆23Mar 24, 2023Updated 2 years ago
- Official repository for paper "Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching" (ICML…☆28Jan 12, 2023Updated 3 years ago
- Code for "World Model as a Graph: Learning Latent Landmarks for Planning" (ICML 2021 Long Presentation)☆68Jul 17, 2021Updated 4 years ago
- Implementation of CASCADE in Learning General World Models in a Handful of Reward-Free Deployments (NeurIPS 22).☆29Oct 25, 2022Updated 3 years ago
- Official code repository for Prompt-DT.☆121Aug 3, 2022Updated 3 years ago
- BabyAI++: Towards Grounded language Learning beyond Memorization, ICLR BeTR-RL 2020☆26Jul 28, 2020Updated 5 years ago
- ☆364May 1, 2023Updated 2 years ago
- Quadrotor LAnding Benchmarking (QLAB) is a simulated environment for developing and testing landing algorithms for unmanned aerial vehicl…☆30Jul 10, 2020Updated 5 years ago
- Code for "MetaMorph: Learning Universal Controllers with Transformers", Gupta et al, ICLR 2022☆127Mar 23, 2022Updated 3 years ago