facebookresearch / ddrLinks
Decoupling Dynamics and Reward for Transfer Learning
☆16Updated 7 years ago
Alternatives and similar repositories for ddr
Users that are interested in ddr are comparing it to the libraries listed below
Sorting:
- Reward Estimation for Variance Reduction in Deep Reinforcement Learning☆22Updated 7 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Updated 6 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 6 years ago
- Source code for our NIPS 2017 paper, InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations☆42Updated 8 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 6 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆79Updated 6 years ago
- ☆99Updated 2 years ago
- ☆44Updated 6 years ago
- Guided-Meta Policy Search☆39Updated 2 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 7 years ago
- Mind-aware Multi-agent Management Reinforcement Learning☆81Updated 6 years ago
- State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox☆163Updated 6 years ago
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆65Updated 6 years ago
- ☆25Updated 6 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆49Updated 3 years ago
- On the pitfalls of measuring emergent communication☆34Updated 6 years ago
- Separating value functions across time-scales.☆17Updated 6 years ago
- Inferring beliefs about dynamics from behavior☆30Updated 7 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆24Updated 6 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆27Updated 6 years ago
- Deep Variational Reinforcement Learning☆137Updated 3 years ago
- Explore the optimization landscape for direct policy learning reinforcement learning.☆51Updated 6 years ago
- Code for "Divide-and-Conquer Reinforcement Learning"☆61Updated 6 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 7 years ago
- ☆43Updated 7 years ago
- ☆35Updated 7 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Disagreement-Regularized Imitation Learning☆30Updated 4 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆69Updated 2 years ago