jscriptcoder / Upside-Down-Reinforcement-LearningLinks
Landing a Spaceship using Upside-Down Reinforcement Learning (a.k.a ⅂ꓤ)
☆12Updated 2 years ago
Alternatives and similar repositories for Upside-Down-Reinforcement-Learning
Users that are interested in Upside-Down-Reinforcement-Learning are comparing it to the libraries listed below
Sorting:
- Official codebase for Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings.☆21Updated 4 years ago
- PyTorch implementation for "Discovery of Incremental Skills" (DISk) algorithm from ICLR 2022 paper "One After Another: Learning Increment…☆19Updated 3 years ago
- Generalised UDRL☆37Updated 3 years ago
- 🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)☆18Updated 2 years ago
- Code for paper "Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning".☆14Updated 4 years ago
- Open source code combining implementations of Upside Down Reinforcement Learning and Reward Conditioned Policies☆18Updated 4 years ago
- Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"☆45Updated 3 years ago
- Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".☆59Updated last year
- Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories☆43Updated 2 years ago
- [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)☆29Updated 3 years ago
- Sim2Real Transfer for Deep Reinforcement Learning with Stochastic State Transition Delays, CORL-2020.☆26Updated 4 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 4 months ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆41Updated 3 years ago
- PyTorch implementation for "On the Critical Role of Conventions in Adaptive Human-AI Collaboration", ICLR 2021☆15Updated 4 years ago
- code for CoRL 2020 paper "Contrastive Variational Model-Based Reinforcement Learning for Complex Observations"☆24Updated 3 years ago
- Adaptable Agent Populations via a Generative Model of Policies☆13Updated 4 years ago
- ☆42Updated 3 years ago
- (ICLR 2021) Learning to Represent Action Values as a Hypergraph on the Action Vertices☆23Updated 4 years ago
- ☆17Updated 2 years ago
- Variational Reinforcement Learning☆16Updated last year
- [CoRL 2020] COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning☆34Updated 5 years ago
- ☆17Updated 4 years ago
- Codebase for "Causal Induction from Visual Observations for Goal-Directed Tasks"☆14Updated 5 years ago
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆36Updated 4 years ago
- ☆25Updated last year
- Source code for the paper "Policy Architectures for Compositional Generalization in Control"☆30Updated 3 years ago
- Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL☆29Updated 2 years ago
- ☆57Updated 3 years ago
- Code for the paper Alpha Zero in Continuous Action Space (A0C) (https://arxiv.org/pdf/1805.09613.pdf)☆15Updated 4 years ago
- Implementation of CASCADE in Learning General World Models in a Handful of Reward-Free Deployments (NeurIPS 22).☆29Updated 3 years ago