mxu34 / mbrl-gpmmLinks
☆26Updated 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:
- Random parameter environments using gym 0.7.4 and mujoco-py 0.5.7☆20Updated 6 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆73Updated 2 years ago
- Code for NeurIPS 2021 paper "Curriculum Offline Imitation Learning"☆18Updated 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
- ☆39Updated 3 years ago
- Implementation of ICML2020 paper <Bidirectional Model-based Policy Optimization>☆23Updated 2 years ago
- Code for the paper: "Causal Influence Detection for Improving Efficiency in Reinforcement Learning", by Seitzer, M., Schölkopf, B., Marti…☆43Updated 3 years ago
- This is the official implementation of NeurIPS 2022 paper "Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal R…☆35Updated 2 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Updated 2 years ago
- ☆26Updated 2 years ago
- [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration☆27Updated 3 years ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆44Updated 6 years ago
- Self-implemented code for Model-Based Meta-Reinforcement Learning☆17Updated 6 years ago
- on-policy optimization baselines for deep reinforcement learning☆30Updated 5 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 4 years ago
- Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations (ICLR 2020)☆27Updated 3 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆39Updated 8 months ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆45Updated 3 years ago
- ☆15Updated 4 years ago
- Code for "Offline Meta-Reinforcement Learning with Advantage Weighting" [ICML 2021]☆47Updated 2 years ago
- ☆54Updated last year
- Implementation of CoDAIL in the ICLR 2020 paper <Multi-Agent Interactions Modeling with Correlated Policies>☆18Updated 4 years ago
- Implementation of the Option-Critic Architecture☆39Updated 6 years ago
- ☆92Updated last year
- ☆56Updated 2 years ago
- Pytorch code for "Learning Belief Representations for Imitation Learning in POMDPs" (UAI 2019)☆20Updated 2 years ago
- Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]☆53Updated 3 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- Implementation of Relational Deep Reinforcement Learning☆25Updated 5 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated 2 years ago