robintyh1 / icml2021-pengqlambdaLinks
Revisiting Peng's Q(lambda) for Modern Reinforcement Learning
☆15Updated 4 years ago
Alternatives and similar repositories for icml2021-pengqlambda
Users that are interested in icml2021-pengqlambda are comparing it to the libraries listed below
Sorting:
- Learning Action-Value Gradients in Model-based Policy Optimization☆32Updated 4 years ago
- Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"☆20Updated 4 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Sandbox environment for generalizable agent research☆25Updated 3 years ago
- A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation (ICLR2023)☆13Updated 2 years ago
- Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"☆20Updated 4 years ago
- Docker containers of baseline agents for the Crafter environment☆29Updated 3 years ago
- Mirror Descent Policy Optimization☆40Updated 4 years ago
- ☆29Updated 4 years ago
- ☆15Updated 5 years ago
- [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.☆24Updated 2 years ago
- Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024☆23Updated last year
- Code for "Possibility Before Utility: Learning And Using Hierarchical Affordances" (ICLR 2022)☆14Updated 3 years ago
- Official pytorch implementation for our ICLR 2023 paper "Latent State Marginalization as a Low-cost Approach for Improving Exploration".☆24Updated 2 years ago
- Vectorization techniques for fast population-based training.☆56Updated 3 years ago
- 📴 OffCon^3: SOTA PyTorch SAC and TD3 Implementations (arxiv: 2101.11331)☆24Updated 4 years ago
- Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)☆68Updated 3 years ago
- ☆52Updated 3 years ago
- Model-Based Reinforcement Learning via Latent-Space Collocation.☆34Updated 2 years ago
- Implementation of Data Efficient Reinforcement Learning in Pytorch☆20Updated 6 years ago
- Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"☆45Updated 2 years ago
- Representation Learning in RL☆13Updated 3 years ago
- Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL☆29Updated 2 years ago
- Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning (NeurIPS2021)☆20Updated 4 years ago
- ☆18Updated 3 years ago
- Implementation of CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning☆27Updated 5 years ago
- Proximal Policy Option-Critic☆25Updated 6 years ago
- Clean, extensible implementation of MACAW [ICML 2021]☆12Updated 3 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 3 months ago
- on-policy optimization baselines for deep reinforcement learning☆32Updated 5 years ago