CORE-Robotics-Lab / ProLoNets
Public implementation of "Encoding Human Domain Knowledge to Warm Start Reinforcement Learning" from AAAI'21
☆20Updated 10 months ago
Alternatives and similar repositories for ProLoNets:
Users that are interested in ProLoNets are comparing it to the libraries listed below
- ☆119Updated 6 months ago
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆103Updated 2 years ago
- ☆20Updated 4 years ago
- Public code for implementation and experiments with differentiable decision trees.☆24Updated 3 months ago
- [NeurIPS 2020, Spotlight] Code for "Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations"☆119Updated 3 years ago
- Learning Individual Intrinsic Reward in MARL☆63Updated 2 years ago
- ☆91Updated 4 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated 2 years ago
- ☆42Updated 3 years ago
- Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning☆20Updated 2 years ago
- Pytorch implementation of Multi-Agent Generative Adversarial Imitation Learning☆39Updated 2 years ago
- Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework☆60Updated 4 years ago
- Source code for the Self-Paced Deep Reinforcement Learning Experiments☆30Updated last year
- ☆14Updated 5 years ago
- (NeurIPS 2021) Neural Auto-Curricula in Two-Player Zero-Sum Games.☆29Updated 3 years ago
- Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)☆18Updated 2 years ago
- Value-Decomposition Multi-Agent Actor-Critics☆40Updated 2 years ago
- Pytorch Implementation for First Order Constrained Optimization in Policy Space (FOCOPS).☆27Updated 3 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆71Updated last year
- ☆35Updated 3 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆38Updated 4 years ago
- Hierarchical-DQN in pytorch (not actively maintained)☆70Updated 7 years ago
- Code for the paper: "Causal Influence Detection for Improving Efficiency in Reinforcement Learning", by Seitzer, M., Schölkopf, B., Marti…☆37Updated 2 years ago
- Code for "Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning"☆34Updated 3 years ago
- ☆73Updated 5 years ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆44Updated 3 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- ☆54Updated 11 months ago
- Random parameter environments using gym 0.7.4 and mujoco-py 0.5.7☆20Updated 5 years ago
- Deep Implicit Coordination Graphs☆41Updated 8 months ago