oist-cnru / Variational-Recurrent-ModelsLinks
Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICLR 2020 (https://openreview.net/forum?id=r1lL4a4tDB)
☆55Updated 4 years ago
Alternatives and similar repositories for Variational-Recurrent-Models
Users that are interested in Variational-Recurrent-Models are comparing it to the libraries listed below
Sorting:
- Pytorch code for "Learning Belief Representations for Imitation Learning in POMDPs" (UAI 2019)☆21Updated 3 years ago
- ☆54Updated last year
- ☆26Updated 2 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 2 weeks ago
- Model-Based Reinforcement Learning via Latent-Space Collocation.☆33Updated 2 years ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆93Updated last year
- ☆35Updated 5 years ago
- ☆29Updated 4 years ago
- ☆99Updated 2 years ago
- Unofficial re-implementation of "Learning Latent Dynamics for Planning from Pixels" (https://arxiv.org/abs/1811.04551 ) with PyTorch☆47Updated 5 years ago
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆81Updated 2 years ago
- ☆31Updated 4 years ago
- Random parameter environments using gym 0.7.4 and mujoco-py 0.5.7☆20Updated 6 years ago
- ☆17Updated 3 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆73Updated 2 years ago
- on-policy optimization baselines for deep reinforcement learning☆30Updated 5 years ago
- Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238☆48Updated 4 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 4 years ago
- Pytorch implementation of "Maximum a Posteriori Policy Optimization" with Retrace for Discrete gym environments☆27Updated 4 years ago
- CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning☆63Updated 5 years ago
- Official codebase for LEAP: Planning with Goal Conditioned Policies☆49Updated 2 years ago
- PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)☆41Updated 3 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
- My Body Is A Cage☆41Updated 4 years ago
- Source code for the Self-Paced Deep Reinforcement Learning Experiments☆32Updated 2 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆40Updated 2 years ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated 2 years ago
- ☆18Updated 2 years ago
- ☆40Updated 3 years ago
- Curriculum-guided Hindsight Experience Replay (NeurIPS-2019)☆65Updated 5 years ago