cagatayyildiz / oderlLinks
Experiment code for "Continuous-Time Model-Based Reinforcement Learning"
☆54Updated 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☆42Updated 4 years ago
- on-policy optimization baselines for deep reinforcement learning☆30Updated 5 years ago
- Code that can be used to reproduce the experiments in our paper "Estimating Risk and Uncertainty in Deep Reinforcement Learning"☆31Updated 2 years ago
- Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…☆55Updated 4 years ago
- ☆31Updated 4 years ago
- Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)☆67Updated 2 years ago
- [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.☆24Updated 2 years ago
- ☆30Updated last year
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆35Updated 2 years ago
- ☆50Updated 3 years ago
- On the model-based stochastic value gradient for continuous reinforcement learning☆56Updated 2 years ago
- Pytorch implementation of "Maximum a Posteriori Policy Optimization" with Retrace for Discrete gym environments☆27Updated 4 years ago
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆63Updated last year
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 3 weeks ago
- IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL☆42Updated 10 months ago
- ☆36Updated 2 years ago
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆81Updated 2 years ago
- Toolkit of Causal Model-based Reinforcement Learning.☆34Updated 2 years ago
- PyTorch Implementation of the Maximum a Posteriori Policy Optimisation☆76Updated 2 years ago
- Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]☆109Updated last year
- 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
- A version of the DeepMind Control Suite with randomly generated graphics, for measuring visual generalization in continuous control.☆18Updated 4 years ago
- DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control☆23Updated 4 years ago
- Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.☆109Updated 2 years ago
- ☆47Updated 2 years ago
- Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]☆53Updated 3 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
- Implementation codes and datasets used in ICLR'22 Spotlight paper AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning…☆38Updated last year
- ☆29Updated 4 years ago
- On-Policy Policy Gradient Algorithms in JAX☆38Updated last year