quasimetric-learning / quasimetric-rlLinks
Open source code for paper "Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning" ICML 2023
☆49Updated 5 months ago
Alternatives and similar repositories for quasimetric-rl
Users that are interested in quasimetric-rl are comparing it to the libraries listed below
Sorting:
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆91Updated 10 months ago
- METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)☆78Updated 2 years ago
- ExORL: Exploratory Data for Offline Reinforcement Learning☆116Updated 3 years ago
- Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"☆57Updated last year
- Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations☆111Updated last year
- Foundation Policies with Hilbert Representations (ICML 2024)☆98Updated 3 weeks ago
- Extreme Q-Learning: Max Entropy RL without Entropy☆87Updated 2 years ago
- [ICLR 2024] Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.☆23Updated last year
- Skeleton for scalable and flexible Jax RL implementations☆88Updated 2 years ago
- [ICML 2023] Pre-train world model-based agents with different unsupervised strategies, fine-tune the agent's components selectively, and …☆40Updated last year
- official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning (NeurIPS 2023)☆110Updated last year
- ☆109Updated 8 months ago
- Synthetic Experience Replay☆103Updated last year
- Conservative Q learning in Jax☆55Updated 2 years ago
- Challenging Memory-based Deep Reinforcement Learning Agents☆104Updated last year
- Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.☆78Updated last year
- Public code for "Reinforcement Learning from Passive Data via Latent Intentions"☆89Updated last year
- off-policy RL on long sequences☆146Updated 2 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
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆81Updated 2 years ago
- [ICLR 2023 Oral] The official implementation of SQL and EQL in "Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Reg…☆44Updated 2 years ago
- ☆43Updated last year
- Transformer-based World Models☆86Updated 2 years ago
- Official codebase for Generating Diverse Cooperative Agents by Learning Incompatible Policies (notable-top-25% @ ICLR 2023)☆18Updated last year
- Deep Hierarchical Planning from Pixels☆109Updated 2 years ago
- Official codebase for "The Generalization Gap in Offline Reinforcement Learning" accepted to ICLR 2024☆28Updated last year
- Official code for "World Models via Policy-Guided Trajectory Diffusion", TMLR 2024☆68Updated last year
- The Controllable Agent project trains RL Agents able to optimize any reward function specified in real time, without any further learning…☆69Updated 2 years ago
- Evaluating long-term memory of reinforcement learning algorithms☆149Updated 2 years ago