YeTianJHU / GSCU
Repo for the Greedy when Sure and Conservative when Uncertain about the Opponents (GSCU)
☆20Updated 2 years ago
Alternatives and similar repositories for GSCU:
Users that are interested in GSCU are comparing it to the libraries listed below
- Official Repository for "Agent Modelling under Partial Observability for Deep Reinforcement Learning"☆35Updated 2 years ago
- Official Implementation for Quality-Similar Diversity via Population Based Reinforcement Learning☆17Updated 2 years ago
- ☆18Updated 3 years ago
- Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination☆28Updated 2 years ago
- Codes accompanying the paper "Influence-Based Multi-Agent Exploration" (ICLR 2020 spotlight)☆31Updated 5 years ago
- Implementation of Deep Reinforcement Learning from Self-Play in Imperfect-Information Games (Heinrich and Silver, 2016)☆45Updated 6 years ago
- ☆53Updated last year
- (NeurIPS 2021) Neural Auto-Curricula in Two-Player Zero-Sum Games.☆28Updated 3 years ago
- ☆12Updated 2 years ago
- Official Code Release for Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games☆50Updated 8 months ago
- ☆28Updated 3 years ago
- Official pytorch implementation of the paper <Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts>.☆19Updated 3 years ago
- IJCAI 2019 - Regularized Opponent Model with Maximum Entropy Objective (ROMMEO)☆23Updated 2 years ago
- This is the source code of RPG (Reward-Randomized Policy Gradient)☆42Updated 2 years ago
- Official repository of the paper "FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning"☆25Updated 9 months ago
- Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is …☆74Updated 4 months ago
- [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"☆34Updated 2 years ago
- Code for NeurIPS 2022 paper "Robust offline Reinforcement Learning via Conservative Smoothing"☆19Updated 2 years ago
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning☆28Updated 3 years ago
- Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning☆20Updated 2 years ago
- PyTorch Implementation of COPA for coordinating teams that can dynamically change.☆20Updated 3 years ago
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆65Updated 3 years ago
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆85Updated 2 years ago
- Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)☆18Updated 3 years ago
- V-MPO torch version with DMLab30 and GTrXL☆13Updated 4 years ago
- Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS…☆74Updated 2 years ago
- The Official Code for Offline Model-based Adaptable Policy Learning (NeurIPS'21 & TPAMI)☆24Updated last year
- ☆49Updated 3 years ago
- Code for NeurIPS 2021 paper "Offline Reinforcement Learning with Reverse Model-based Imagination"☆19Updated 3 years ago
- Code for Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games☆20Updated 3 years ago