ruizhaogit / maximum_entropy_population_based_trainingLinks
Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination
☆26Updated 3 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"☆39Updated 3 years ago
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆40Updated 10 months ago
- The implementation of ICLR 2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".☆46Updated last year
- Codes accompanying the paper "Influence-Based Multi-Agent Exploration" (ICLR 2020 spotlight)☆33Updated 5 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆51Updated 3 years ago
- An open source benchmark for Multi Agent Reinforcement Learning☆30Updated 2 years ago
- Official codebase for paper "Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning" (ICML22)☆23Updated 3 years ago
- ☆115Updated 2 years ago
- Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS…☆74Updated 3 years ago
- PyTorch Implementation of COPA for coordinating teams that can dynamically change.☆22Updated 3 years ago
- Official code for "RAMBO: Robust Adversarial Model-Based Offline RL", NeurIPS 2022☆32Updated 2 years ago
- Benchmarked implementations of Offline RL Algorithms.☆76Updated 9 months ago
- ☆54Updated last year
- Official pytorch implementation of the paper <Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts>.☆21Updated last month
- Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL, published in ICLR 2023☆33Updated last year
- The Implementation of "Machine Theory of Mind", ICML 2018☆26Updated 3 years ago
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆67Updated 4 years ago
- Official codebase for Generating Diverse Cooperative Agents by Learning Incompatible Policies (notable-top-25% @ ICLR 2023)☆19Updated last year
- ☆30Updated 3 years ago
- code for ROMANCE☆14Updated last year
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆68Updated last year
- ☆21Updated 4 years ago
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning☆29Updated 3 years ago
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆88Updated 2 years ago
- Deep Implicit Coordination Graphs☆43Updated last year
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- ☆15Updated 3 years ago
- Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)☆69Updated 3 years ago
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…☆39Updated last year
- ☆49Updated 4 years ago