UT-Austin-RPL / amago
a simple and scalable agent for training adaptive policies with sequence-based RL
☆118Updated last week
Alternatives and similar repositories for amago:
Users that are interested in amago are comparing it to the libraries listed below
- Public code for "Reinforcement Learning from Passive Data via Latent Intentions"☆89Updated last year
- METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)☆68Updated last year
- Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations☆100Updated 10 months ago
- official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning☆92Updated 8 months ago
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆79Updated 4 months ago
- Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)☆56Updated 6 months ago
- Foundation Policies with Hilbert Representations (ICML 2024)☆82Updated last year
- MR.Q is a general-purpose model-free reinforcement learning algorithm.☆85Updated last week
- Transformer-based World Models☆80Updated 2 years ago
- Skeleton for scalable and flexible Jax RL implementations☆79Updated last year
- A benchmark for offline goal-conditioned RL and offline RL☆154Updated 2 weeks ago
- Synthetic Experience Replay☆91Updated 10 months ago
- ☆80Updated last month
- Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024☆64Updated 10 months ago
- Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"☆53Updated last year
- Code for "Masked Autoencoding for Scalable and Generalizable Decision Making". NeurIPS 2022☆44Updated last year
- Official code repository for Prompt-DT.☆108Updated 2 years ago
- DrM, a visual RL algorithm, minimizes the dormant ratio to guide exploration-exploitation trade-offs, achieving significant improvements …☆72Updated 10 months ago
- Extreme Q-Learning: Max Entropy RL without Entropy☆86Updated 2 years ago
- ExORL: Exploratory Data for Offline Reinforcement Learning☆111Updated 3 years ago
- Simple single-file baselines for Q-Learning in pure-GPU setting☆153Updated 3 weeks ago
- Code for the ICLR 2024 spotlight paper: "Learning to Act without Actions" (introducing Latent Action Policies)☆95Updated 8 months ago
- ☆83Updated 10 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
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆110Updated 7 months ago
- Evaluating long-term memory of reinforcement learning algorithms☆141Updated last year
- ☆25Updated last year
- Challenging Memory-based Deep Reinforcement Learning Agents☆97Updated 5 months ago
- Deep Hierarchical Planning from Pixels☆95Updated 2 years ago
- Open source code for paper "Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning" ICML 2023☆46Updated 11 months ago