cagatayyildiz / oderl
Experiment code for "Continuous-Time Model-Based Reinforcement Learning"
☆47Updated 11 months ago
Related projects ⓘ
Alternatives and complementary repositories for oderl
- PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020☆38Updated 4 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…☆51Updated 3 years ago
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆32Updated last year
- ☆33Updated 4 years ago
- Offline Contextual Bayesian Optimization☆14Updated last year
- IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL☆35Updated 2 months ago
- On the model-based stochastic value gradient for continuous reinforcement learning☆55Updated last year
- Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)☆32Updated 4 years ago
- ☆28Updated 3 years ago
- ☆29Updated 3 years ago
- Implementation of Robust Reinforcement Learning using Offline Data [NeurIPS'22]☆22Updated 2 weeks ago
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆55Updated 10 months ago
- DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control☆22Updated 4 years ago
- ☆15Updated last month
- Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…☆129Updated last year
- Conservative Q learning in Jax☆51Updated last year
- Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]☆49Updated 3 years ago
- Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling☆41Updated 3 years ago
- ☆30Updated 3 months ago
- Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…☆37Updated 5 years ago
- High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, T…☆9Updated this week
- on-policy optimization baselines for deep reinforcement learning☆28Updated 4 years ago
- ☆25Updated 4 years ago
- Offline Risk-Averse Actor-Critic (O-RAAC). A model-free RL algorithm for risk-averse RL in a fully offline setting☆33Updated 3 years ago
- Official implementation for our paper "Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control"☆17Updated 2 years ago
- Toolkit of Causal Model-based Reinforcement Learning.☆32Updated last year
- Code for the paper: "Causal Influence Detection for Improving Efficiency in Reinforcement Learning", by Seitzer, M., Schölkopf, B., Marti…☆36Updated 2 years ago
- Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"☆39Updated 8 months ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆62Updated last year