bprabhakar / upside-down-reinforcement-learningLinks
Pytorch based implementation of Upside Down Reinforcement Learning (UDRL) by J. Schmidhuber et al.
☆11Updated 5 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:
- Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch☆25Updated 4 years ago
- A framework for implementing equivariant DL☆10Updated 4 years ago
- Meta-learning inductive biases in the form of useful conserved quantities.☆37Updated 2 years ago
- The implementation of "The Kanerva Machine" with Pytorch and Pyro☆12Updated 7 years ago
- AdaCat☆49Updated 3 years ago
- Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"☆59Updated 3 years ago
- Generalised UDRL☆37Updated 3 years ago
- ☆23Updated 3 years ago
- Variational Reinforcement Learning☆16Updated last year
- Public Release of Plan2vec Implementation in pyTorch☆57Updated 2 years ago
- Decentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)☆43Updated 2 years ago
- Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)☆49Updated 2 months ago
- A GPT, made only of MLPs, in Jax☆58Updated 4 years ago
- PyTorch implementation of DARLA preprocessing models☆11Updated 7 years ago
- Reward Learning by Simulating the Past☆45Updated 6 years ago
- Evaluating different engineering tricks that make RL work☆15Updated 4 years ago
- Massively Parallel and Asynchronous Architecture for Logic-based AI☆43Updated 2 years ago
- Understanding RL vision Distill article☆24Updated 2 years ago
- ☆50Updated 4 years ago
- ☆45Updated 5 years ago
- Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.☆77Updated 5 years ago
- Code for NeurIPS 2019 paper: "Symmetry-Based Disentangled Representation Learning requires Interaction with Environments" by H. Caselles-…☆35Updated 5 years ago
- Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology☆36Updated 4 years ago
- Neural Fixed-Point Acceleration for Convex Optimization☆29Updated 2 years ago
- Implementation of Hierarchical Transformer Memory (HTM) for Pytorch☆75Updated 3 years ago
- ☆10Updated 4 years ago
- ☆21Updated 2 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.☆79Updated last year
- JAX implementation of Graph Attention Networks☆13Updated 3 years ago