CORE-Robotics-Lab / ProLoNetsLinks
Public implementation of "Encoding Human Domain Knowledge to Warm Start Reinforcement Learning" from AAAI'21
☆20Updated last year
Alternatives and similar repositories for ProLoNets
Users that are interested in ProLoNets are comparing it to the libraries listed below
Sorting:
- Public code for implementation and experiments with differentiable decision trees.☆29Updated last year
- Code for Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation @ NeurIPS 2021☆13Updated 4 years ago
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆104Updated 3 years ago
- [NeurIPS 2020 Spotlight] State-adversarial PPO for robust deep reinforcement learning☆31Updated 4 years ago
- ☆25Updated 3 years ago
- ☆132Updated last year
- Transformers are Meta-Reinforcement Learners - International Conference on Machine Learning (ICML) 2022☆62Updated 2 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆51Updated 2 years ago
- ☆10Updated 3 years ago
- Code for the paper: "Causal Influence Detection for Improving Efficiency in Reinforcement Learning", by Seitzer, M., Schölkopf, B., Marti…☆47Updated 3 years ago
- ☆31Updated 4 years ago
- ☆42Updated 4 years ago
- Robust Multi-Agent Reinforcement Learning with State Uncertainty☆13Updated 2 years ago
- Tracking literature and additional online resources on transformers for sequential decision making including RL and beyond.☆47Updated 2 years ago
- ☆27Updated 5 years ago
- [NeurIPS 2020, Spotlight] Code for "Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations"☆139Updated 4 years ago
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆88Updated 2 years ago
- Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning☆20Updated 2 years ago
- This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.☆50Updated last year
- Scalable Bayesian Inverse Reinforcement Learning (ICLR 2021) by Alex J. Chan and Mihaela van der Schaar.☆46Updated 4 years ago
- ☆76Updated 6 years ago
- Official implementation of NeurIPS22 paper “Multi-agent Dynamic Algorithm Configuration”☆25Updated 2 years ago
- ☆20Updated 5 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
- [NeurIPS 2020] PyTorch implementation of "Learning Implicit Credit Assignment for Cooperative Muti-Agent Reinforcement Learning"☆62Updated last year
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆84Updated 2 years ago
- Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework☆68Updated 4 years ago
- An implementation of Constrained Policy Optimization (Achiam 2017) in PyTorch☆26Updated 5 years ago
- Code for "Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning"☆36Updated 4 years ago
- Safe Reinforcement Learning with Natural Language Constraints☆15Updated 4 years ago