zdhNarsil / Stochastic-Marginal-Actor-CriticLinks
Official pytorch implementation for our ICLR 2023 paper "Latent State Marginalization as a Low-cost Approach for Improving Exploration".
☆24Updated 2 years ago
Alternatives and similar repositories for Stochastic-Marginal-Actor-Critic
Users that are interested in Stochastic-Marginal-Actor-Critic are comparing it to the libraries listed below
Sorting:
- JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"☆43Updated 4 years ago
- Docker containers of baseline agents for the Crafter environment☆30Updated 4 years ago
- Vectorization techniques for fast population-based training.☆56Updated 3 years ago
- On the model-based stochastic value gradient for continuous reinforcement learning☆57Updated 2 weeks ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆59Updated 3 years ago
- Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"☆20Updated 4 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆92Updated 4 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Model-based reinforcement learning in TensorFlow☆56Updated 4 years ago
- 📴 OffCon^3: SOTA PyTorch SAC and TD3 Implementations (arxiv: 2101.11331)☆24Updated 4 years ago
- Implicit Normalizing Flows + Reinforcement Learning☆61Updated 6 years ago
- Revisiting Peng's Q(lambda) for Modern Reinforcement Learning☆15Updated 4 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆32Updated 4 years ago
- Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"☆21Updated 3 years ago
- ☆32Updated 4 years ago
- ☆30Updated 4 years ago
- [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.☆25Updated 2 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 5 months ago
- Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"☆45Updated 2 years ago
- Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL☆30Updated 2 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆103Updated 3 years ago
- Revisiting Rainbow☆75Updated 4 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 5 years ago
- Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy☆22Updated last year
- JAX implementations of core Deep RL algorithms☆82Updated 3 years ago
- Mirror Descent Policy Optimization☆41Updated 5 years ago
- 🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)☆18Updated 2 years ago
- on-policy optimization baselines for deep reinforcement learning☆32Updated 5 years ago
- ☆32Updated 2 years ago
- Efficient Exploration via State Marginal Matching (2019)☆69Updated 6 years ago