joelouismarino / variational_rlLinks
Variational Reinforcement Learning
☆16Updated last year
Alternatives and similar repositories for variational_rl
Users that are interested in variational_rl are comparing it to the libraries listed below
Sorting:
- Generalised UDRL☆37Updated 3 years ago
- JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"☆43Updated 4 years ago
- Public Release of Plan2vec Implementation in pyTorch☆57Updated 2 years ago
- Plannable Approximations to MDP Homomorphisms: Equivariance under Actions☆30Updated 5 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 the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"☆44Updated last year
- Clockwork VAEs in JAX/Flax☆32Updated 4 years ago
- The implementation of "The Kanerva Machine" with Pytorch and Pyro☆12Updated 7 years ago
- ☆19Updated 4 years ago
- A pytorch implementation of Amortized Stein Variational Gradient Descent/ Stein GAN☆19Updated 6 years ago
- Implicit Normalizing Flows + Reinforcement Learning☆61Updated 6 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Official implementation of DynE, Dynamics-aware Embeddings for RL☆43Updated 4 years ago
- [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning☆34Updated 5 years ago
- Reward Learning by Simulating the Past☆44Updated 6 years ago
- Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"☆44Updated 2 years ago
- ☆23Updated 3 years ago
- Neural Fixed-Point Acceleration for Convex Optimization☆29Updated 2 years ago
- Code Release for Task Agnostic Dynamics Priors for Deep Reinforcement Learning☆12Updated 6 years ago
- ☆80Updated last year
- Sandbox environment for generalizable agent research☆26Updated 2 years ago
- Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"☆15Updated 2 years ago
- Invariant Causal Prediction for Block MDPs☆44Updated 5 years ago
- Open source code for paper "On the Learning and Learnability of Quasimetrics".☆31Updated 2 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆63Updated last year
- 🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation☆38Updated 3 years ago
- Simplistic Pytorch Implementation of the Dreamer-RL☆20Updated 2 months ago
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆36Updated 4 years ago
- Latent World Models For Intrinsically Motivated Exploration | Official repository☆22Updated 4 years ago
- Open source code combining implementations of Upside Down Reinforcement Learning and Reward Conditioned Policies☆18Updated 4 years ago