quasimetric-learning / quasimetric-rl
Open source code for paper "Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning" ICML 2023
☆45Updated 11 months ago
Alternatives and similar repositories for quasimetric-rl:
Users that are interested in quasimetric-rl are comparing it to the libraries listed below
- Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"☆53Updated last year
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆78Updated 3 months ago
- METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)☆66Updated last year
- Skeleton for scalable and flexible Jax RL implementations☆74Updated last year
- Foundation Policies with Hilbert Representations (ICML 2024)☆80Updated 11 months ago
- [ICML 2023] Pre-train world model-based agents with different unsupervised strategies, fine-tune the agent's components selectively, and …☆37Updated last year
- Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations☆100Updated 10 months ago
- ExORL: Exploratory Data for Offline Reinforcement Learning☆111Updated 3 years ago
- Public code for "Reinforcement Learning from Passive Data via Latent Intentions"☆88Updated last year
- Official codebase for "The Generalization Gap in Offline Reinforcement Learning" accepted to ICLR 2024☆28Updated 7 months ago
- EARL: Environment for Autonomous Reinforcement Learning☆37Updated 2 years ago
- Predictable MDP Abstraction for Unsupervised Model-Based RL (ICML 2023)☆32Updated 2 years ago
- Synthetic Experience Replay☆89Updated 10 months ago
- Discovering and Achieving Goals via World Models, NeurIPS 2021☆85Updated last year
- Official code for "World Models via Policy-Guided Trajectory Diffusion", TMLR 2024☆62Updated last year
- PWM: Policy Learning with Large World Models☆42Updated last month
- Transformer-based World Models☆78Updated last year
- Controllability-Aware Unsupervised Skill Discovery (ICML 2023)☆25Updated last year
- Official code for TLDR: Unsupervised Goal-Conditioned RL via Temporal Distance-Aware Representations☆26Updated 5 months ago
- Code for TRANSDREAMER: REINFORCEMENT LEARNING WITH TRANSFORMER WORLD MODELS☆25Updated last year
- MR.Q is a general-purpose model-free reinforcement learning algorithm.☆80Updated last month
- Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.☆77Updated 10 months ago
- Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"☆39Updated this week
- Code for the paper "Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference"☆40Updated 8 months ago
- ☆78Updated last month
- a simple and scalable agent for training adaptive policies with sequence-based RL☆115Updated last month
- [ICLR 2024] Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.☆23Updated 11 months ago
- Official Implementation of "Can Learned Optimization Make Reinforcement Learning Less Difficult"☆22Updated 4 months ago
- Reproduction of Dreamerv1 and v2 in pytorch for deepmind control suite☆36Updated 2 years ago
- Code for "Masked Autoencoding for Scalable and Generalizable Decision Making". NeurIPS 2022☆43Updated last year