krasheninnikov / max-causal-ent-irlLinks
Maximum Causal Entropy Inverse Reinforcement Learning
☆48Updated 7 years ago
Alternatives and similar repositories for max-causal-ent-irl
Users that are interested in max-causal-ent-irl are comparing it to the libraries listed below
Sorting:
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆35Updated 6 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆56Updated 9 months ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆27Updated 6 years ago
- Adversarial Imitation Via Variational Inverse Reinforcement Learning☆96Updated 5 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆76Updated 2 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago
- Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings☆96Updated 7 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 6 years ago
- ☆92Updated 2 years ago
- Self-implemented code for Model-Based Meta-Reinforcement Learning☆17Updated 6 years ago
- Deep Variational Reinforcement Learning☆138Updated 3 years ago
- A Multi-agent Learning Framework☆62Updated 4 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆107Updated 5 years ago
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆65Updated 6 years ago
- ☆62Updated 7 years ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆62Updated 4 years ago
- Safe Reinforcement Learning algorithms☆75Updated 3 years ago
- Disagreement-Regularized Imitation Learning☆30Updated 4 years ago
- Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning☆217Updated 2 years ago
- Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)☆35Updated 4 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆68Updated 5 years ago
- Safe Policy Improvement with Baseline Bootstrapping☆26Updated 5 years ago
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆163Updated 5 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆68Updated 7 years ago
- Safe Option-Critic: Learning Safety in the Option-Critic Architecture☆20Updated 7 years ago
- PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)☆56Updated 3 years ago
- ☆85Updated 7 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆74Updated 8 years ago
- ☆85Updated 4 years ago