Transformers are Meta-Reinforcement Learners - International Conference on Machine Learning (ICML) 2022
☆69May 8, 2023Updated 3 years ago
Alternatives and similar repositories for transformers-metarl
Users that are interested in transformers-metarl are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆15Apr 5, 2023Updated 3 years ago
- ☆51Jul 30, 2023Updated 3 years ago
- Code for AAAI 2023 paper "Hypernetworks for Zero-shot Transfer in Reinforcement Learning"☆24Apr 26, 2023Updated 3 years ago
- Latent Dynamics Mixture, NeurIPS 2021☆18Oct 25, 2022Updated 4 years ago
- ☆13Mar 16, 2023Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆183Feb 21, 2023Updated 3 years ago
- Generalised UDRL☆37May 12, 2022Updated 4 years ago
- Implementation of ICML 2023 paper: Future-conditioned Unsupervised Pretraining for Decision Transformer☆29Jul 25, 2023Updated 3 years ago
- Code for the papers Hypernetworks in Meta-Reinforcement Learning (Beck et al., 2022) and Recurrent Hypernetworks are Surprisingly Strong …☆21Jul 31, 2024Updated 2 years ago
- ☆11Oct 19, 2020Updated 6 years ago
- Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)☆206Mar 15, 2023Updated 3 years ago
- Implementation of BIMRL: Brain Inspired Meta Reinforcement Learning - Roozbeh Razavi et al. (IROS 2022)☆10Dec 1, 2022Updated 3 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆35May 17, 2019Updated 7 years ago
- ☆18Jul 10, 2022Updated 4 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆12Mar 21, 2024Updated 2 years ago
- ☆17Oct 12, 2023Updated 3 years ago
- Official implementation for the paper "Offline Meta RL - Identifiability Challenges and Effective Data Collection Strategies", NeurIPS 20…☆31Nov 23, 2021Updated 4 years ago
- Distributed Priortized Experience Replay☆10Aug 8, 2018Updated 8 years ago
- Code for FOCAL Paper Published at ICLR 2021☆55Dec 4, 2023Updated 2 years ago
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆108Jun 18, 2022Updated 4 years ago
- CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning☆64May 20, 2020Updated 6 years ago
- Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)☆27Jun 9, 2021Updated 5 years ago
- RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning☆20May 24, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆12Aug 28, 2020Updated 6 years ago
- Meta-RL Model-Based Algorithm☆46Apr 30, 2025Updated last year
- Code for NeurIPS paper "Self-Organized Group for Cooperative Multi-agentReinforcement Learning".☆22Feb 20, 2023Updated 3 years ago
- solving ml10☆26Nov 10, 2023Updated 2 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆248Sep 30, 2022Updated 4 years ago
- Code to accompany the paper 'On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations'☆10Apr 16, 2026Updated 6 months ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆77Mar 16, 2023Updated 3 years ago
- ☆61Feb 3, 2023Updated 3 years ago
- ☆13May 21, 2023Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Experiments on Model-Agnostic Meta-Learning on Few-Shot Image Classification and Meta-RL (Meta-World)☆17Mar 30, 2021Updated 5 years ago
- Code for "MetaMorph: Learning Universal Controllers with Transformers", Gupta et al, ICLR 2022☆134Mar 23, 2022Updated 4 years ago
- ☆35Jan 29, 2023Updated 3 years ago
- Code release for "Supported Policy Optimization for Offline Reinforcement Learning" (NeurIPS 2022), https://arxiv.org/abs/2202.06239☆22Jun 24, 2023Updated 3 years ago
- Decision Transformer for offline single-agent autonomous highway driving☆29Jun 19, 2023Updated 3 years ago
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022☆354Apr 26, 2026Updated 6 months ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆515Dec 1, 2022Updated 3 years ago