kvfrans / freLinks
Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"
☆57Updated last year
Alternatives and similar repositories for fre
Users that are interested in fre are comparing it to the libraries listed below
Sorting:
- METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)☆69Updated last year
- Foundation Policies with Hilbert Representations (ICML 2024)☆88Updated last year
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆84Updated 6 months ago
- Official codebase for "The Generalization Gap in Offline Reinforcement Learning" accepted to ICLR 2024☆28Updated 9 months ago
- ☆45Updated 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
- Discovering and Achieving Goals via World Models, NeurIPS 2021☆85Updated last year
- Predictable MDP Abstraction for Unsupervised Model-Based RL (ICML 2023)☆32Updated 2 years ago
- EARL: Environment for Autonomous Reinforcement Learning☆37Updated 2 years ago
- PWM: Policy Learning with Large World Models☆49Updated 3 months ago
- Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations☆101Updated last year
- Open source code for paper "Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning" ICML 2023☆46Updated 2 weeks ago
- ExORL: Exploratory Data for Offline Reinforcement Learning☆115Updated 3 years ago
- a simple and scalable agent for training adaptive policies with sequence-based RL☆124Updated last week
- Synthetic Experience Replay☆92Updated last year
- Controllability-Aware Unsupervised Skill Discovery (ICML 2023)☆26Updated 2 years ago
- Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"☆46Updated last month
- Reinforcement Learning via Supervised Learning☆71Updated 3 years ago
- Code for "Masked Autoencoding for Scalable and Generalizable Decision Making". NeurIPS 2022☆44Updated last year
- Official Implementation of "Can Learned Optimization Make Reinforcement Learning Less Difficult"☆22Updated last month
- ☆24Updated 11 months ago
- [ICLR 2024] Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.☆23Updated last year
- Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)☆58Updated 7 months ago
- Skeleton for scalable and flexible Jax RL implementations☆81Updated last year
- ☆32Updated last week
- Official code for TLDR: Unsupervised Goal-Conditioned RL via Temporal Distance-Aware Representations☆32Updated 7 months ago
- Code for TRANSDREAMER: REINFORCEMENT LEARNING WITH TRANSFORMER WORLD MODELS☆24Updated last year
- Evaluating long-term memory of reinforcement learning algorithms☆141Updated last year
- VC-FB and MC-FB algorithms from "Zero-Shot Reinforcement Learning from Low Quality Data" (NeurIPS 2024)☆16Updated 4 months ago