cagatayyildiz / oderl
Experiment code for "Continuous-Time Model-Based Reinforcement Learning"
☆52Updated last year
Alternatives and similar repositories for oderl
Users that are interested in oderl are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020☆41Updated 4 years ago
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆33Updated 2 years ago
- ☆30Updated last year
- Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…☆54Updated 4 years ago
- on-policy optimization baselines for deep reinforcement learning☆30Updated 5 years ago
- Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)☆33Updated 5 years ago
- ☆31Updated 4 years ago
- On the model-based stochastic value gradient for continuous reinforcement learning☆55Updated last year
- IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL☆42Updated 8 months ago
- Mirror Descent Policy Optimization☆38Updated 4 years ago
- Code accompanying the paper Adversarially Trained Actor Critic for Offline Reinforcement Learning by Ching-An Cheng*, Tengyang Xie*, Nan …☆70Updated 2 years ago
- ☆35Updated 5 years ago
- Implementation codes and datasets used in ICLR'22 Spotlight paper AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning…☆36Updated last year
- Code that can be used to reproduce the experiments in our paper "Estimating Risk and Uncertainty in Deep Reinforcement Learning"☆30Updated 2 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 6 months ago
- ☆98Updated 2 years ago
- Formulating Model-based RL Dynamics as a continuous rather then one step prediction☆35Updated 2 years ago
- Offline Risk-Averse Actor-Critic (O-RAAC). A model-free RL algorithm for risk-averse RL in a fully offline setting☆35Updated 4 years ago
- Offline Contextual Bayesian Optimization☆14Updated last year
- This repository contains all code and experiments for competitive policy gradient (CoPG) algorithm.☆24Updated 4 years ago
- Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning Algorithms☆41Updated last year
- DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control☆23Updated 4 years ago
- Toolkit of Causal Model-based Reinforcement Learning.☆33Updated last year
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆62Updated last year
- Implementation of Robust Reinforcement Learning using Offline Data [NeurIPS'22]☆24Updated 6 months ago
- Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…☆136Updated 2 years ago
- Code for the paper: "Causal Influence Detection for Improving Efficiency in Reinforcement Learning", by Seitzer, M., Schölkopf, B., Marti…☆42Updated 3 years ago
- ☆26Updated 4 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆178Updated 2 years ago
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆80Updated 2 years ago