mxu34 / mbrl-gpmmLinks
☆27Updated 5 years ago
Alternatives and similar repositories for mbrl-gpmm
Users that are interested in mbrl-gpmm are comparing it to the libraries listed below
Sorting:
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆74Updated 2 years ago
- Random parameter environments using gym 0.7.4 and mujoco-py 0.5.7☆20Updated 6 years ago
- Implementation of the Option-Critic Architecture☆40Updated 6 years ago
- Code for NeurIPS 2021 paper "Curriculum Offline Imitation Learning"☆18Updated 2 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Updated 2 years ago
- ☆39Updated 3 years ago
- [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration☆28Updated 3 years ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆48Updated 6 years ago
- ☆15Updated 4 years ago
- Self-implemented code for Model-Based Meta-Reinforcement Learning☆17Updated 6 years ago
- Implementation of CoDAIL in the ICLR 2020 paper <Multi-Agent Interactions Modeling with Correlated Policies>☆18Updated 4 years ago
- This is the official implementation of NeurIPS 2022 paper "Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal R…☆35Updated 2 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆40Updated 3 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 2 months ago
- ☆54Updated 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
- Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…☆55Updated 4 years ago
- ☆18Updated 4 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 6 years ago
- Scalable Bayesian Inverse Reinforcement Learning (ICLR 2021) by Alex J. Chan and Mihaela van der Schaar.☆48Updated 4 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆51Updated 2 years ago
- ☆26Updated 2 years ago
- Code for the paper: "Causal Influence Detection for Improving Efficiency in Reinforcement Learning", by Seitzer, M., Schölkopf, B., Marti…☆46Updated 3 years ago
- ☆66Updated 5 years ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆46Updated 3 years ago
- Safe Policy Improvement with Baseline Bootstrapping☆26Updated 5 years ago
- Pytorch code for "Learning Belief Representations for Imitation Learning in POMDPs" (UAI 2019)☆21Updated 3 years ago
- Implementation of Relational Deep Reinforcement Learning☆25Updated 5 years ago
- ☆99Updated 2 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 4 years ago