ramp-kits / rl_simulatorLinks
Model-based reinforcement learning (generative simulator models and planning agents)
☆16Updated 4 years ago
Alternatives and similar repositories for rl_simulator
Users that are interested in rl_simulator are comparing it to the libraries listed below
Sorting:
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆40Updated 3 years ago
- Model-based reinforcement learning in TensorFlow☆56Updated 4 years ago
- Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024☆23Updated last year
- ☆29Updated 4 years ago
- On the model-based stochastic value gradient for continuous reinforcement learning☆57Updated 2 years ago
- Pytorch code for "Learning Belief Representations for Imitation Learning in POMDPs" (UAI 2019)☆21Updated 3 years ago
- Model-Based Reinforcement Learning via Latent-Space Collocation.☆33Updated 2 years ago
- ☆35Updated 2 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆49Updated 3 years ago
- [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.☆24Updated 2 years ago
- Mirror Descent Policy Optimization☆39Updated 4 years ago
- Efficient Exploration via State Marginal Matching (2019)☆69Updated 6 years ago
- Model-Based Uncertainty in Value Functions (AISTATS2023)☆16Updated 2 years ago
- MELD: Meta-Reinforcement Learning from Images via Latent State Models https://arxiv.org/abs/2010.13957☆64Updated 4 years ago
- ☆99Updated 2 years ago
- Change-Based Exploration Transfer☆35Updated 3 years ago
- ☆22Updated last year
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆81Updated 2 years ago
- Codebase of Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization (ICLR2021)☆53Updated 4 years ago
- EARL: Environment for Autonomous Reinforcement Learning☆37Updated 2 years ago
- Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"☆45Updated 2 years ago
- Implementation of Data Efficient Reinforcement Learning in Pytorch☆20Updated 6 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 2 months ago
- ☆11Updated 4 years ago
- ☆31Updated last year
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 6 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 4 years ago
- Proximal Policy Option-Critic☆25Updated 6 years ago
- Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238☆48Updated 4 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