boschresearch / ube-mbrlLinks
Model-Based Uncertainty in Value Functions (AISTATS2023)
☆16Updated 2 years ago
Alternatives and similar repositories for ube-mbrl
Users that are interested in ube-mbrl are comparing it to the libraries listed below
Sorting:
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆41Updated 3 years ago
- This repository contains the code for RL for POMDPs through learning an Approximate Information State.☆21Updated 4 years ago
- ☆35Updated 2 years ago
- Bayesian active RL (BARL) and trajectory information planning (TIP)☆24Updated 3 years ago
- [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.☆24Updated 2 years ago
- On the model-based stochastic value gradient for continuous reinforcement learning☆57Updated 2 years ago
- Modular Single-file Reinfocement Learning Algorithms Library☆38Updated 2 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆67Updated 2 years ago
- Source files to replicate experiments in my ICLR 2022 paper.☆70Updated 4 months ago
- ☆24Updated last year
- ☆25Updated last year
- ☆32Updated 2 years ago
- ☆23Updated 3 years ago
- Formulating Model-based RL Dynamics as a continuous rather then one step prediction☆36Updated 3 years ago
- ☆46Updated 2 years ago
- Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"☆80Updated last year
- The repository is for Reinforcement-Learning Uncertainty research, in which we investigate various uncertain factors in RL.☆23Updated 2 years ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆49Updated 3 years ago
- Model-based reinforcement learning (generative simulator models and planning agents)☆16Updated 4 years ago
- Jaxplorer is a Jax reinforcement learning (RL) framework for exploring new ideas.☆13Updated last year
- Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization☆68Updated 5 years ago
- A version of the DeepMind Control Suite with randomly generated graphics, for measuring visual generalization in continuous control.☆19Updated 5 years ago
- Evaluation of TD-MPC2.☆21Updated last year
- ☆18Updated 5 years ago
- Contains the code for "BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning" by Boris Ivanovic, James Harrison, Apoo…☆12Updated 7 years ago
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆38Updated 2 years ago
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆82Updated 2 years ago
- Toolkit of Causal Model-based Reinforcement Learning.☆32Updated 2 years ago
- Code and project page for D-REX algorithm from the paper "Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrat…☆51Updated 2 years ago
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆68Updated last year