CORE-Robotics-Lab / ProLoNets
Public implementation of "Encoding Human Domain Knowledge to Warm Start Reinforcement Learning" from AAAI'21
☆20Updated 8 months ago
Related projects ⓘ
Alternatives and complementary repositories for ProLoNets
- Official implementation of Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning at ICML…☆37Updated 3 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆38Updated 4 years ago
- Code for "Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning"☆33Updated 3 years ago
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆102Updated 2 years ago
- Code for FOCAL Paper Published at ICLR 2021☆49Updated 11 months ago
- Official implementation of NeurIPS22 paper “Multi-agent Dynamic Algorithm Configuration”☆23Updated last year
- Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning☆19Updated last year
- ☆118Updated 4 months ago
- Code for the paper: "Causal Influence Detection for Improving Efficiency in Reinforcement Learning", by Seitzer, M., Schölkopf, B., Marti…☆36Updated 2 years ago
- ☆42Updated 3 years ago
- This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.☆41Updated 11 months ago
- [NeurIPS 2022 Oral] The official implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"☆54Updated last year
- ☆44Updated 3 years ago
- The code for AAMAS2022 《GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning》☆39Updated 2 years ago
- Pytorch implementation of Multi-Agent Generative Adversarial Imitation Learning☆37Updated 2 years ago
- Implementation of NeurIPS2021 paper <On Effective Scheduling of Model-based Reinforcement Learning>☆12Updated 3 years ago
- PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, H…☆68Updated 4 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated last year
- Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework☆59Updated 3 years ago
- [NeurIPS 2020 Spotlight] State-adversarial PPO for robust deep reinforcement learning☆23Updated 3 years ago
- ☆28Updated 2 years ago
- PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)☆39Updated 2 years ago
- [ICML 2021] DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning☆30Updated last year
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆41Updated 5 years ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆42Updated 2 years ago
- ☆29Updated last year
- ☆20Updated 4 years ago
- Implementation codes and datasets used in ICLR'22 Spotlight paper AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning…☆35Updated 7 months ago
- code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)☆55Updated 4 years ago
- Implementation of Population-Guided Parallel Policy Search for Reinforcement Learning☆22Updated 4 years ago