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Reinforcement Learning

2,932 papers

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Papers

SILG: The Multi-domain Symbolic Interactive Language Grounding Benchmark NIPS 2021
Reinforcement Learning in Newcomblike Environments NIPS 2021
Two steps to risk sensitivity NIPS 2021
Nearly Minimax Optimal Reinforcement Learning for Discounted MDPs NIPS 2021
Learning in Non-Cooperative Configurable Markov Decision Processes NIPS 2021
Policy Optimization in Adversarial MDPs: Improved Exploration via Dilated Bonuses NIPS 2021
Sample-Efficient Reinforcement Learning for Linearly-Parameterized MDPs with a Generative Model NIPS 2021
Optimal Policies Tend To Seek Power NIPS 2021
Dr Jekyll & Mr Hyde: the strange case of off-policy policy updates NIPS 2021
RL for Latent MDPs: Regret Guarantees and a Lower Bound NIPS 2021
Active Offline Policy Selection NIPS 2021
Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error Feedback NIPS 2021
Symbolic Regression via Deep Reinforcement Learning Enhanced Genetic Programming Seeding NIPS 2021
Offline Constrained Multi-Objective Reinforcement Learning via Pessimistic Dual Value Iteration NIPS 2021
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability NIPS 2021
A Max-Min Entropy Framework for Reinforcement Learning NIPS 2021
Reward is enough for convex MDPs NIPS 2021
Navigating to the Best Policy in Markov Decision Processes NIPS 2021
Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch NIPS 2021
Fast Algorithms for $L_\infty$-constrained S-rectangular Robust MDPs NIPS 2021
Which Mutual-Information Representation Learning Objectives are Sufficient for Control? NIPS 2021
Generalized Linear Bandits with Local Differential Privacy NIPS 2021
Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies NIPS 2021
Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics Mixture NIPS 2021
Influencing Towards Stable Multi-Agent Interactions CORL 2021