robintyh1 / neurips2021-meta-gradient-offpolicy-evaluation
Code for Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation @ NeurIPS 2021
☆12Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for neurips2021-meta-gradient-offpolicy-evaluation
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆26Updated 2 years ago
- Safe Reinforcement Learning with Natural Language Constraints☆14Updated 3 years ago
- Code for NeurIPS 2021 paper "Curriculum Offline Imitation Learning"☆17Updated 2 years ago
- Code for the paper: "Causal Influence Detection for Improving Efficiency in Reinforcement Learning", by Seitzer, M., Schölkopf, B., Marti…☆36Updated 2 years ago
- Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)☆24Updated 3 years ago
- ☆24Updated last year
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆36Updated 3 weeks ago
- Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination☆25Updated last year
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 3 years ago
- ☆54Updated 8 months ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆42Updated 2 years ago
- Official implementation for the paper "Offline Meta RL - Identifiability Challenges and Effective Data Collection Strategies", NeurIPS 20…☆29Updated 2 years ago
- [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration☆26Updated 2 years ago
- Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning☆19Updated last year
- Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)☆17Updated 2 years ago
- Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning☆11Updated 6 months ago
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆55Updated 10 months ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated last year
- Code for FOCAL Paper Published at ICLR 2021☆49Updated 11 months ago
- ☆18Updated 2 years ago
- Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"☆21Updated 3 years ago
- Implementation of ICML2020 paper <Bidirectional Model-based Policy Optimization>☆23Updated last year
- Pytorch code for "Learning Guidance Rewards with Trajectory-space Smoothing" (NeurIPS 2020)☆12Updated 3 years ago
- ☆30Updated 3 months ago
- curriculum☆20Updated last year
- Offline Risk-Averse Actor-Critic (O-RAAC). A model-free RL algorithm for risk-averse RL in a fully offline setting☆33Updated 3 years ago
- ☆18Updated 3 years ago
- PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)☆39Updated 2 years ago
- Implementation codes and datasets used in ICLR'22 Spotlight paper AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning…