ctallec / continuous-rlLinks
☆20Updated 6 years ago
Alternatives and similar repositories for continuous-rl
Users that are interested in continuous-rl are comparing it to the libraries listed below
Sorting:
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆80Updated 6 years ago
- E2C implementation in PyTorch☆43Updated 8 years ago
- ☆36Updated 7 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆64Updated 2 years ago
- JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"☆44Updated 4 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Updated 6 years ago
- Reward Learning by Simulating the Past☆46Updated 6 years ago
- [ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement☆128Updated 6 years ago
- [NeurIPS 2019] Code for the paper "Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity"☆116Updated 6 years ago
- ☆44Updated 7 years ago
- Simple tools for statistical analyses in RL experiments☆67Updated 7 years ago
- Explore the optimization landscape for direct policy learning reinforcement learning.☆51Updated 7 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆49Updated 3 years ago
- ☆50Updated 6 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆30Updated 6 years ago
- Official implementation of DynE, Dynamics-aware Embeddings for RL☆44Updated 4 years ago
- State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox☆163Updated 6 years ago
- ☆80Updated 2 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- ☆25Updated 7 years ago
- Code for experimenting with state and action abstractions in reinforcement learning.☆30Updated 5 years ago
- Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".☆35Updated 7 years ago
- Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"☆46Updated 3 years ago
- Code Release for Task Agnostic Dynamics Priors for Deep Reinforcement Learning☆12Updated 6 years ago
- Code to reproduce the results in the "Unsupervised Learning of Goal Spaces for Intrinsically Motivated Exploration"☆21Updated 7 years ago
- Implementation of Deepmind's Neural Episodic Control☆58Updated 7 years ago
- Inferring beliefs about dynamics from behavior☆30Updated 7 years ago
- Implementation of the POIS algorithm☆15Updated 6 years ago
- Baselines and memory-based scenarios for the ViZDoom simulator☆36Updated 3 years ago
- Revisiting Rainbow☆75Updated 4 years ago