willwhitney / dynamics-aware-embeddings
Official implementation of DynE, Dynamics-aware Embeddings for RL
☆43Updated 3 years ago
Alternatives and similar repositories for dynamics-aware-embeddings:
Users that are interested in dynamics-aware-embeddings are comparing it to the libraries listed below
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆36Updated 4 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆23Updated 5 years ago
- Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"☆44Updated 2 years ago
- Generalised UDRL☆37Updated 2 years ago
- ☆25Updated 6 years ago
- Reinforcement Learning with Latent Flow☆43Updated 4 years ago
- Variational Reinforcement Learning☆16Updated 9 months ago
- Code for the CoRL 2019 paper AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers☆24Updated 2 years ago
- Autoregressive policies for continuous control reinforcement learning☆32Updated 5 years ago
- Guided-Meta Policy Search☆40Updated 2 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆78Updated 5 years ago
- ☆35Updated 6 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆56Updated 5 years ago
- Code for paper "Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning" by David Janz*, Jiri Hron*, Przemys…☆21Updated 2 years ago
- 📴 OffCon^3: SOTA PyTorch SAC and TD3 Implementations (arxiv: 2101.11331)☆24Updated 3 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 7 years ago
- Code for experimenting with state and action abstractions in reinforcement learning.☆31Updated 4 years ago
- ☆42Updated 4 years ago
- ICLR 2020 Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies☆18Updated 4 years ago
- Revisiting Rainbow☆74Updated 3 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆27Updated 6 years ago
- Code to reproduce the results of "Curiosity Driven Exploration of Learned Disentangled Goal Spaces"☆19Updated 6 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 4 years ago
- Invariant Causal Prediction for Block MDPs☆44Updated 4 years ago
- PyTorch - Implicit Quantile Networks - Quantile Regression - C51☆22Updated 5 years ago
- Public Release of Plan2vec Implementation in pyTorch☆56Updated 2 years ago
- ☆43Updated 6 years ago
- Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings☆95Updated 6 years ago