robintyh1 / icml2021-pengqlambda
Revisiting Peng's Q(lambda) for Modern Reinforcement Learning
☆16Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for icml2021-pengqlambda
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago
- Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"☆21Updated 3 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆35Updated last week
- Docker containers of baseline agents for the Crafter environment☆28Updated 2 years ago
- 📴 OffCon^3: SOTA PyTorch SAC and TD3 Implementations (arxiv: 2101.11331)☆24Updated 3 years ago
- Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024☆22Updated 7 months ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆31Updated 4 years ago
- Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning (NeurIPS2021)☆20Updated 3 years ago
- Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"☆42Updated last year
- A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation (ICLR2023)☆12Updated last year
- Representation Learning in RL☆16Updated 2 years ago
- Official pytorch implementation for our ICLR 2023 paper "Latent State Marginalization as a Low-cost Approach for Improving Exploration".☆24Updated last year
- [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.☆24Updated last year
- ☆27Updated 3 years ago
- Code for "Possibility Before Utility: Learning And Using Hierarchical Affordances" ICLR 2022☆13Updated 2 years ago
- Sandbox environment for generalizable agent research☆22Updated 2 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆34Updated 2 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 4 years ago
- Efficient seed-parallel implementation of "Breaking the Replay Ratio Barrier"☆21Updated last year
- [ICLR 2024] Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.☆21Updated 6 months ago
- Generalised UDRL☆37Updated 2 years ago
- Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"☆21Updated 3 years ago
- ☆14Updated 4 years ago
- JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"☆43Updated 3 years ago
- on-policy optimization baselines for deep reinforcement learning☆28Updated 4 years ago
- Model-Based Reinforcement Learning via Latent-Space Collocation.☆31Updated last year
- PyTorch implementation for "On the Critical Role of Conventions in Adaptive Human-AI Collaboration", ICLR 2021☆14Updated 3 years ago
- Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL☆26Updated last year
- Official Codebase for Offline Reinforcement Learning from Images with Latent Space Models☆28Updated 3 years ago
- ☆34Updated last year