ruizhaogit / maximum_entropy_population_based_trainingLinks
Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination
☆28Updated 2 years ago
Alternatives and similar repositories for maximum_entropy_population_based_training
Users that are interested in maximum_entropy_population_based_training are comparing it to the libraries listed below
Sorting:
- Official Repository for "Agent Modelling under Partial Observability for Deep Reinforcement Learning"☆36Updated 2 years ago
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆37Updated 5 months ago
- Official pytorch implementation of the paper <Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts>.☆20Updated 3 years ago
- Official code for "RAMBO: Robust Adversarial Model-Based Offline RL", NeurIPS 2022☆29Updated 2 years ago
- Official repository of the paper "FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning"☆32Updated last year
- Official codebase for paper "Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning" (ICML22)☆22Updated 3 years ago
- Official code repository for Prompt-DT.☆114Updated 3 years ago
- Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS…☆74Updated 2 years ago
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆63Updated last year
- ☆112Updated 2 years ago
- Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL, published in ICLR 2023☆32Updated 8 months ago
- Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)☆67Updated 3 years ago
- The implementation of ICLR 2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".☆43Updated 9 months ago
- Code for FOCAL Paper Published at ICLR 2021☆51Updated last year
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆51Updated 2 years ago
- [ICML 2022] Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning☆35Updated 2 years ago
- ☆54Updated last year
- An open source benchmark for Multi Agent Reinforcement Learning☆30Updated 2 years ago
- ☆56Updated 2 years ago
- Benchmarked implementations of Offline RL Algorithms.☆75Updated 5 months ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆87Updated last year
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆59Updated 2 years ago
- Code accompanying the paper Adversarially Trained Actor Critic for Offline Reinforcement Learning by Ching-An Cheng*, Tengyang Xie*, Nan …☆70Updated 2 years ago
- PyTorch Implementation of COPA for coordinating teams that can dynamically change.☆21Updated 3 years ago
- Code for "Offline Meta-Reinforcement Learning with Advantage Weighting" [ICML 2021]☆47Updated 2 years ago
- Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)☆75Updated 2 years ago
- Conservative Q Learning on top of SAC☆132Updated 2 years ago
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning☆27Updated 3 years ago
- ☆30Updated 2 years ago
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆98Updated 10 months ago