XanderJC / scalable-birlLinks
Scalable Bayesian Inverse Reinforcement Learning (ICLR 2021) by Alex J. Chan and Mihaela van der Schaar.
☆46Updated 4 years ago
Alternatives and similar repositories for scalable-birl
Users that are interested in scalable-birl are comparing it to the libraries listed below
Sorting:
- Code for the paper: "Causal Influence Detection for Improving Efficiency in Reinforcement Learning", by Seitzer, M., Schölkopf, B., Marti…☆47Updated 3 years ago
- Official implementation of Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning at ICML…☆46Updated 4 years ago
- Implementation codes and datasets used in ICLR'22 Spotlight paper AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning…☆40Updated last year
- ☆40Updated 4 years ago
- ☆27Updated 5 years ago
- Literature and code for inverse reinforcement leanring research☆29Updated 5 years ago
- on-policy optimization baselines for deep reinforcement learning☆32Updated 5 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆28Updated 6 years ago
- This is the official implementation of NeurIPS 2022 paper "Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal R…☆35Updated 3 years ago
- Official implementation for the paper "Offline Meta RL - Identifiability Challenges and Effective Data Collection Strategies", NeurIPS 20…☆31Updated 4 years ago
- ☆21Updated 5 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆76Updated 2 years ago
- PyTorch implementation of Probabilistic Network Ensembles on toy problems☆23Updated 3 years ago
- An unofficial implementation for online decision transformer☆41Updated 3 years ago
- Offline Risk-Averse Actor-Critic (O-RAAC). A model-free RL algorithm for risk-averse RL in a fully offline setting☆35Updated 5 years ago
- Implementation of Relational Deep Reinforcement Learning☆25Updated 6 years ago
- Code for FOCAL Paper Published at ICLR 2021☆55Updated 2 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 6 months ago
- Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020☆45Updated 2 years ago
- Model-Based Offline Reinforcement Learning☆52Updated 5 years ago
- Code for "Offline Meta-Reinforcement Learning with Advantage Weighting" [ICML 2021]☆46Updated 3 years ago
- Random parameter environments using gym 0.7.4 and mujoco-py 0.5.7☆20Updated 6 years ago
- Hierarchical-DQN in pytorch (not actively maintained)☆73Updated 8 years ago
- ☆48Updated 3 years ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆47Updated 4 years ago
- ☆54Updated last year
- PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020☆46Updated 5 years ago
- Inverse Constrained Reinforcement Learning (ICML 2021)☆25Updated 4 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆41Updated 3 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆191Updated 3 years ago