enjeeneer / zero-shot-rlLinks
VC-FB and MC-FB algorithms from "Zero-Shot Reinforcement Learning from Low Quality Data" (NeurIPS 2024)
☆20Updated 9 months ago
Alternatives and similar repositories for zero-shot-rl
Users that are interested in zero-shot-rl are comparing it to the libraries listed below
Sorting:
- Official Implementation of `An Optimisation Framework for Unsupervised Environment Design` from RLC 2025☆16Updated 2 months ago
- ☆28Updated last year
- Official codebase for "The Generalization Gap in Offline Reinforcement Learning" accepted to ICLR 2024☆28Updated last year
- Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"☆57Updated last year
- Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024☆74Updated last year
- [ICLR 2024] Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.☆23Updated last year
- METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)☆78Updated 2 years ago
- Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)☆59Updated last year
- Public code for "Reinforcement Learning from Passive Data via Latent Intentions"☆89Updated last year
- Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"☆71Updated 4 months ago
- Foundation Policies with Hilbert Representations (ICML 2024)☆98Updated 3 weeks ago
- Author's implementation of ReBRAC, a minimalist improvement upon TD3+BC☆56Updated 2 years ago
- Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.☆78Updated last year
- ☆10Updated last year
- JAX reimplementation of the DeepMind paper "Genie: Generative Interactive Environments"☆84Updated 9 months ago
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆91Updated 10 months ago
- XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning - - — ICLR 2025☆79Updated 8 months ago
- Open source code for paper "Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning" ICML 2023☆49Updated 5 months ago
- Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy☆20Updated 11 months ago
- Code for the paper "Stable Gradients for Stable Learning at Scale in Deep Reinforcement Learning". Great performance in many environments…☆31Updated this week
- ☆109Updated 8 months ago
- Unified Implementations of Offline Reinforcement Learning Algorithms☆112Updated 2 weeks ago
- Official code for "World Models via Policy-Guided Trajectory Diffusion", TMLR 2024☆68Updated last year
- Conservative Q learning in Jax☆55Updated 2 years ago
- PWM: Policy Learning with Large World Models☆58Updated 2 months ago
- Predictable MDP Abstraction for Unsupervised Model-Based RL (ICML 2023)☆32Updated 2 years ago
- Corax: Core RL in JAX☆38Updated last year
- Minimal Decision Transformer Implementation written in Jax (Flax).☆17Updated 3 years ago
- Official code for TLDR: Unsupervised Goal-Conditioned RL via Temporal Distance-Aware Representations☆34Updated last year
- Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]☆110Updated last year