VAIBHAV-2303 / PiRLLinks
Programmatically Interpretable Reinforcement Learning
☆20Updated 4 years ago
Alternatives and similar repositories for PiRL
Users that are interested in PiRL are comparing it to the libraries listed below
Sorting:
- A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges☆247Updated 7 months ago
- Multi-Objective Reinforcement Learning☆285Updated 4 years ago
- ☆24Updated 3 years ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆46Updated 3 years ago
- Partially Observable Process Gym☆199Updated 3 months ago
- Code for Learning to Synthesize Programs as Interpretable and Generalizable Policies in NeurIPS 2021☆39Updated this week
- [ICML 2020] Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control☆121Updated 4 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆134Updated last year
- Experiment code for "Continuous-Time Model-Based Reinforcement Learning"☆54Updated last year
- Scalable Bayesian Inverse Reinforcement Learning (ICLR 2021) by Alex J. Chan and Mihaela van der Schaar.☆48Updated 4 years ago
- Implementation of Symbolic Relational Deep Reinforcement Learning based on Graph Neural Networks☆25Updated 2 years ago
- Benchmarking RL generalization in an interpretable way.☆162Updated 3 months ago
- PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, H…☆71Updated 5 years ago
- ☆31Updated 2 years ago
- Experiment code for testing effect of various action space transformations in reinforcement learning☆30Updated 5 years ago
- Minimal implementation of multi-agent reinforcement learning algorithms☆58Updated 4 years ago
- Implementation of HindSight Experience Replay paper with Pytorch☆31Updated 4 years ago
- DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning☆22Updated 4 years ago
- ☆133Updated last year
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022☆331Updated last year
- Source code for "A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning" (ICML 2021)☆33Updated 2 years ago
- Reinforcement learning for combinatorial optimization over directed graphs☆41Updated 2 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆105Updated 4 years ago
- Official implementation of Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning at ICML…☆41Updated 4 years ago
- Official code for "DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning" (NeurIPS 2022 Oral)☆30Updated 2 years ago
- Gym-like extensions for POMDP☆57Updated 4 years ago
- Multi-Objective Reinforcement Learning components built on top of RL glue components☆29Updated 2 years ago
- A list of papers regarding generalization in (deep) reinforcement learning☆152Updated 2 years ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆88Updated last year
- Solving POMDP using Recurrent networks☆91Updated 5 years ago