HumanCompatibleAI / human_aware_rl
Code for "On the Utility of Learning about Humans for Human-AI Coordination"
☆108Updated 2 years ago
Alternatives and similar repositories for human_aware_rl
Users that are interested in human_aware_rl are comparing it to the libraries listed below
Sorting:
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆160Updated 2 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆178Updated 2 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆128Updated 9 months ago
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆147Updated 3 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆70Updated last year
- Gridworld for MARL experiments☆140Updated 4 years ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆46Updated 3 years ago
- ☆195Updated 2 years ago
- Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"☆161Updated 3 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆137Updated 2 years ago
- PantheonRL is a package for training and testing multi-agent reinforcement learning environments. PantheonRL supports cross-play, fine-tu…☆146Updated last year
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆160Updated 4 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆167Updated 3 years ago
- ☆76Updated 11 months ago
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆92Updated 3 weeks ago
- ☆129Updated 9 months ago
- ☆53Updated last year
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆68Updated last year
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- Code for "Learning to Reach Goals via Iterated Supervised Learning"☆78Updated 3 years ago
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆166Updated 3 months ago
- Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning☆101Updated 2 years ago
- Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)☆188Updated 2 years ago
- Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.☆122Updated 3 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆100Updated 3 years ago
- OpenAI Gym wrapper for the DeepMind Control Suite☆215Updated 11 months ago
- ☆112Updated 2 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆72Updated 7 years ago
- ☆53Updated 4 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆167Updated 6 months ago